Service Now Projects

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

Outsourced IT Support & VBA Support Partner Required

Multi-Site Care Group | Ongoing Support Contract We are a growing multi-site care group seeking a reliable IT support provider, small technical team, or agency to support our day-to-day operations across multiple locations. We are not looking for a sole freelancer, unless there is clear contingency cover in place. Ideally, we want an established provider with at least a second person available for resilience and continuity of service. About us 10 care sites Each site has approximately 4 laptops and 4 mobiles 1 central team with around 15 user-specific laptops Current setup At site level, devices are generally not user-specific In the central team, laptops are user-specific Access to our individual software platforms is managed through user logins, but support for those SaaS systems is not part of this role Microsoft Office Standard BlueHost hosting 2 WordPress websites Dropbox for file sharing Many of our operational files rely on VBA, so experience in maintaining and modifying VBA-based files is essential Support required We are looking for ongoing support in two main areas: 1. General IT support Approx. 2 hour per week Setting up new laptops and installing relevant programmes Assisting users with technical issues 2. Application / VBA maintenance Approx. 2 hours per week Updating and modifying VBA-driven files and tools Supporting operational file maintenance and improvements Response expectations User support required same day, ideally within 3–4 working hours Support hours: weekdays, 9am–5pm Application maintenance can usually be completed with a 1 working day turnaround Non-urgent upgrades can have a longer lead time, such as up to 1 week Occasional larger technical projects / builds may also arise from time to time Ideal provider We would particularly like to hear from providers who: already support similar clients or multi-site businesses have an established track record in outsourced IT support have strong Microsoft desktop support capability have solid experience with VBA troubleshooting, file maintenance, and updates can provide dependable cover and business continuity Please include in your response a short overview of your business / team where your team is based how many people are in your support team your experience with similar clients your experience with VBA support and maintenance your support hours and typical response times your pricing structure your onboarding availability We are looking for a provider who can offer a practical, responsive and dependable service, with the flexibility to support occasional larger pieces of work as needed. If you feel your team would be a good fit, we would be pleased to hear from you.

Prospect Intelligence Analyst | Research Assistant

ROLE OVERVIEW Our firm helps small service businesses in the US and UK identify and fix operational revenue leaks — the gaps that cause them to lose enquiries and bookings without realizing it. You sit at the front of our Prospect Machine. Each week you research small businesses, identify their primary revenue leak, score them, enrich decision maker contacts, and populate our structured prospecting tracker. Your output feeds directly to our Cold Caller and Business Systems Consultants. This is not a data entry role. It requires pattern recognition, fast decision-making from limited information, and the discipline to work at consistent pace to a fixed weekly deadline. CORE RESPONSIBILITIES • Source 150–200 raw businesses per week using scraping tools provided by company • Filter to 120–150 qualified SMBs • Review each business's online digital presence — website, booking system, social pages, and online reputation — and conduct test calls outside office hours to assess missed call risk and after-hours responsiveness. Identify the primary operational revenue leak based on what the evidence shows • Find and verify the decision maker via enrichment tools provided by company • Score each lead, flag Priority Leads, and escalate leads immediately • Populate the B2B Prospecting Tracker • Submit all deliverables via agreed upon platform and time. Onboarding Ramp Week 1— 50–60 leads, research and tracker only. Full SOP and training provided. Quality standards apply from day one. Week 2 onwards — Cold call script prep for top 20 Priority Leads added. Week 3 onwards — Industry community and directory identification added. REQUIREMENTS • Experience in B2B lead research, business intelligence, or structured data research • Able to make fast, confident decisions from publicly available data • Strong attention to detail — accurate entries matter more than perfect ones • Comfortable following a structured SOP independently, without frequent check-ins • Clear written and spoken English, with prompt communication COMPENSATION & STRUCTURE • $17.00/hr · 15 hrs/week · ~$255/week • Performance review at 45 days — rate increase available for strong performers HOW TO APPLY Begin your application with the word SIGNAL — applications that don't will not be reviewed. Then answer these two questions: 1. Describe a research or data project where you worked to a consistent weekly output target. What tools did you use and what was your weekly volume? 2. You're researching a dental practice. Their website has no online booking system — new patients are instructed to call during office hours only. There is no contact form and no alternative way to enquire outside of calling. In two to three sentences: identify the primary revenue leak, explain why it matters commercially, and give this lead a score out of 10 with a one-sentence justification. Note Question 2 has a clear correct answer. We are looking for specific, evidenced reasoning — not a general description of the problem.

opportunitypre-fundedurgent

Shopify Web Designer / Developer Needed (UI/UX + Features)

We want to make clear our budget is not up for negotiation at this time. Our Project consist of taking current template and building a new one modified or a new updated theme. Current setup is outline here. We use Flxpoint which has been mapped correctly. 98% of all the data is taken care of already. All data point for the descriptions and mapping are controlled from Flxpoint. - The part that must be done here is all that information needs to lay out in a expert organize design for each product page and all others styles. Focus of the project is the building, structuring and design of the site whatever else required. Scope of Work 1. UI/UX Design & Frontend Development Architect and implement a high-performance, conversion-optimized user experience Design scalable navigation and taxonomy for: 30,000–65,000 products 150,000+ images and product assets Develop or heavily customize a Shopify theme with: Mobile-first, responsive design Optimized product discovery (search, filters, categories) Clean, modern UI aligned with adult retail standards Ensure accessibility, usability, and intuitive customer flows 2. Backend Architecture & Data Integration Integrate with an existing data warehouse (pre-mapped product data) Implement real-time or near real-time data syncing for: Product feeds Inventory updates (drop-shipping model) Pricing and availability Ensure robust data mapping and normalization between source feeds and Shopify 3. App & API Integrations Configure and integrate third-party systems including: Payment gateways Inventory and order management systems Google services (Analytics, Tag Manager, Shopping feeds) AI assistant / automation tools Develop custom middleware or private apps where required 4. Performance Optimization Optimize for: Page speed (Core Web Vitals) High-volume image delivery (CDN, lazy loading, compression) Efficient Liquid rendering and API calls Streamline checkout experience to maximize conversion rates Implement advanced caching and performance strategies 5. Project Management & Delivery Provide structured project governance: Defined milestones and timelines Regular stakeholder communication Agile or sprint-based delivery model Conduct: QA testing (functional, regression, performance) UAT support prior to launch 6. Maintenance & Ongoing Support Post-launch support including: Debugging and issue resolution Feature enhancements Platform updates and optimization Required Team Composition We will only engage with teams or agencies capable of covering all functional areas: Shopify Developer(s) Expertise in Liquid, custom theme development, and backend logic UI/UX Designer Proven experience designing high-SKU e-commerce experiences Project Manager Responsible for delivery, communication, and scope management Technical Requirements Shopify / Shopify Plus experience (strongly preferred) Proficiency in: Shopify Liquid HTML5 / CSS3 JavaScript (React, jQuery or similar frameworks) API integrations Git/version control Experience handling: Large-scale product catalogs High-volume image optimization Drop-shipping workflows Vendor Qualification Criteria We are not evaluating based on public URLs alone. All applicants must provide: Verifiable, real project evidence, including: Code samples (where permissible) Architecture breakdowns Before/after performance metrics Detailed case studies of past builds Demonstrated experience delivering complex, high-scale e-commerce platforms Key Success Factors Scalable architecture capable of handling large datasets Clean, intuitive UX that drives conversion Reliable integration with live product feeds Strong communication and structured execution Ability to deliver a production-ready platform end-to-end

opportunity

Trading bot development

Project Overview We are building a high-performance, low-latency trading engine designed for microstructure-based execution strategies in a high-tax (STT) environment. This is NOT a basic retail trading bot. This system requires advanced system-level engineering, multi-core CPU architecture control, shared memory communication, and real-time observability dashboard. The focus of this project is minimizing latency between signal generation and order execution while maintaining regulatory compliance (Order-to-Trade Ratio constraints). The developer must understand low-level performance optimization, concurrency architecture, and Linux system behavior. Core Technical Requirements Python Version (Mandatory) The engine must use: Python 3.13 Free-Threaded build (3.13t) NOT standard Python 3.10–3.12 Reason: Standard Python uses the Global Interpreter Lock (GIL), which blocks true parallelism. In low-latency systems, a 1–2ms delay caused by GIL contention is unacceptable. Multi-Core Architecture with CPU Core Pinning The engine must: Assign specific modules to specific CPU cores Use os.sched_setaffinity (Linux only) Prevent OS core migration (avoid context switching) Modules include: Sentinel (Risk & OTR monitoring) Sonar (Market entropy / regime detection) Oracle (Signal calculation loop) Execution Engine (Order placement) The goal is to eliminate unpredictable latency spikes caused by OS scheduling and cache invalidation. Inter-Process Communication Standard Python queues are NOT acceptable. Communication must use: multiprocessing.shared_memory Memory-mapped buffers Lock-free ring buffer architecture Reason: Standard queues introduce locking and object allocation overhead, increasing latency. The target is sub-millisecond internal communication between signal generator and execution engine. Latency Measurement The system must measure: End-to-end order placement latency Round-trip time (RTT) Module processing time Using: time.perf_counter_ns() Latency histogram logging This data must be streamed to the dashboard. Order Execution Logic The system should: Prefer passive limit orders Include 200ms cancel logic Manage Order-to-Trade Ratio (OTR) Implement controlled order flooding logic (compliant with broker rules) This is not a simple market order bot. FRONTEND REQUIREMENTS (React Dashboard) The frontend is NOT a trading UI. It is a real-time monitoring and control cockpit. Preferred stack: React (Vite or Next.js) WebSocket for live streaming Lightweight charting (Canvas or WebGL-based) Required Dashboard Modules Sentinel Panel Real-time RTT graph 20ms lockdown threshold indicator CPU usage per pinned core Emergency status Sonar Panel Market regime indicator (Attack / Veto mode) Entropy score display Zero-trust gate status Oracle Panel Weighted Order Book Imbalance (WOBI) heatmap Liquidity imbalance % Signal strength score Must use high-performance rendering (Canvas, not heavy SVG). Execution Panel Net Expected Value (NEV) Fill rate % Cancel rate Order-to-Trade Ratio (OTR) status Emergency Kill Switch Dashboard must include: Global kill switch Sends signal to monitoring service Monitoring service writes flag to shared memory Engine halts immediately Dashboard must NOT communicate directly with broker API. Deployment Requirements Linux-based environment (Ubuntu preferred) Dockerized setup preferred Separate processes: Trading engine Monitoring microservice React frontend Google Cloud compatible. 10 MOST IMPORTANT SKILLS TO ADD Attach these skills on Freelancer: Python 3 (Advanced Concurrency & Multiprocessing) Must understand GIL, free-threaded builds, shared memory. Low-Latency System Design Experience reducing microsecond-level bottlenecks. Linux System Programming Knowledge of CPU affinity, process scheduling, performance tuning. Multithreading & Multiprocessing Architecture Designing multi-core optimized applications. Memory Management & Shared Memory IPC Experience with mmap, shared memory buffers. Financial Market Microstructure Knowledge Understanding order books, liquidity imbalance, passive vs aggressive orders. WebSocket & Real-Time Streaming Required for live dashboard data. React.js (Performance-Optimized UI) Real-time data rendering without UI lag. Performance Profiling & Benchmarking Must measure and optimize latency. Cloud Deployment (Google Cloud / Linux VM / Docker) Production-ready deployment experience. VERY IMPORTANT Add this to filter weak developers: Applicants must answer the following: Have you worked with Python shared memory or mmap before? Have you implemented CPU core pinning on Linux? How would you measure internal engine latency? How would you prevent dashboard from affecting trading engine performance? This will eliminate 80% of generic bot developers.

Integration Specialist for Self Storage SaaS with HubSpot

Summary We are seeking an experienced integration specialist to connect our self storage specific SaaS system with HubSpot. The ideal candidate will have a strong background in API integrations and a deep understanding of CRM systems. We will handle the data imports from head office. We require the most support with connecting the 2 systems in order to achieve contact synchronization, unit availability synchronization, order creation in the SaaS from HubSpot deals . If you have a proven track record in SaaS integrations and are familiar with self storage or CRM systems, we want to hear from you! Objective Integrate HubSpot with the operational storage management platform to support sales and storage operations. We are adopting a dedicated operational platform for managing storage units and tenancies across its sites. The business already uses HubSpot for sales, marketing and customer relationship management. An integration is required so that: Sales enquiries, quoting and deal management remain in HubSpot Unit management and tenancy operations are handled in the operational platform Both systems maintain consistent visibility of customers and unit status Brief 1. Objectives a. Maintain HubSpot as the sales platform Sales teams continue to manage enquiries, quotes, deals and the pipeline within HubSpot. b. Use the operational platform for storage management The operational platform will handle unit inventory, allocation of units, tenancy lifecycle and occupancy status. c. Synchronise core data between systems Both platforms should stay aligned on customer records, unit inventory, unit availability and occupancy status. d. Automate order creation When a deal reaches a defined stage in HubSpot: i. a customer record should exist in the operational platform ii. an order should be created in the operational platform iii. the order ID should be stored in HubSpot e. Provide operational visibility in HubSpot Sales and customer service staff should be able to see which units a customer occupies, unit availability and operational status directly within HubSpot. 2. Functional Requirements a. Contact Synchronization i. Create customers in the operational platform from HubSpot contacts ii. Update customer information iii. Store the customer ID in HubSpot Email will likely act as the primary matching key. b. Unit Types HubSpot should contain a representation of unit types including size, location, pricing and metadata to support quoting and deal creation. c. Storage Unit Visibility HubSpot should display unit identifiers, availability, occupancy status and associated unit type. Units remain controlled in the operational platform and read-only in HubSpot. d. Deal to Order Process When a deal reaches a defined pipeline stage in HubSpot: i. Confirm or create the customer in the operational platform ii. Create an order in the operational platform using the selected unit type iii. Store the order ID on the HubSpot deal e. Operational Updates Changes in the operational platform should update HubSpot including order creation, tenancy creation, move-in confirmation and occupancy changes. 3. Technical Context The initial concept uses HubSpot workflows, webhooks and API connections between HubSpot and the operational platform. However, we are open to recommendations on the most appropriate integration architecture. 4. Project Timeline Expected delivery timeframe: approximately 2–3 months including testing and validation. 5. What We Are Requesting We are seeking proposals covering: Recommended integration approach Estimated implementation timeline Project cost estimate Ongoing maintenance requirements (if any)

urgent

AI Marketing Implementation Specialist Thailand & UK Business

WHO WE ARE Peyton & Charmed Group is a multi-brand business operating between Thailand and the UK across 5 business units: - UK Student Accommodation (peytonandcharmedaccomm.co.uk) - UK Property Investment — integrated with Accommodation - Koh Chang Travel & Tours (kohchangthailandtours.com) - Private Land Transfers — currently Koh Chang to Bangkok route, growing nationwide - Bangkok City Stays (peytonandcharmedbkk.com) IMPORTANT — THIS IS NOT A SOCIAL MEDIA SETUP PROJECT We already have Facebook, Instagram and TikTok running across all business units. We do not need accounts created or basic profile work. We need an AI marketing implementation specialist to come in, build AI tools and workflows on top of what we already have, and hand everything over so our in-house team can run it themselves. WHAT YOU WILL IMPLEMENT - Audit our existing channels and identify gaps and opportunities - AI-powered content workflow — our team films, AI does the editing and posting - LLM-powered chatbots on Instagram, Facebook, LINE OA and WhatsApp — must understand natural language in English and Thai, not basic keyword bots - Scheduling and auto-posting across all platforms - Analytics dashboard so we can track what is working - Brand kit and video templates per business unit - Content calendar system our team fills in weekly - Filming guide per business unit for our team TRANSFERS NOTE Transfers currently runs as one route — Koh Chang to Bangkok — promoted through our Koh Chang channels. Phase 1 is to cross-promote this within Koh Chang content. A standalone Transfers setup is a future phase and not in scope for this project. TOOLS We are not fixed on specific tools. Recommend whatever AI tools you believe will work best for us and include the costs in your proposal. We own CapCut Pro and want it included where possible. TIMELINE — URGENT We need this completed within 2 weeks from start. Freelancers who can deliver faster will be given priority. WHEN APPLYING PLEASE INCLUDE - Examples of AI marketing systems you have implemented — not just social media management - Examples of LLM chatbots you have configured - Your recommended toolset with costs - Your fixed project rate - Your fastest realistic completion time We are two audiences — Thai families going to the UK, and international tourists coming to Thailand. Bilingual English and Thai strongly preferred. Need a quotation and road map - the follow a must DATA ANALYSIS & CUSTOMER PERSONA REPORTS This is a core requirement of the project, not an optional extra. We need the freelancer to conduct full data analysis across all our existing social media channels and customer data for each of our 5 business units. From this data analysis you must produce detailed customer persona reports that identify exactly who our customers are, what drives them to buy, what stops them buying, and how we can upsell and cross-sell our services across all business units. Data analysis deliverables required: - Full data analysis of existing social channels, audience insights and engagement patterns per BU - Customer persona report per BU based on data analysis findings - Buying trigger report — what motivates each customer type to purchase - Upsell and cross-sell opportunity map across all 5 BUs - Customer journey map per BU showing where we are losing potential customers - Ongoing data analysis system so our team can track and update this over time All data analysis and persona reports must be delivered by Day 3-5 of the project as they drive everything else — content, chatbots, strategy and messaging. Content without data analysis is just guesswork. When applying please include examples of data analysis reports and customer persona work you have completed for other businesses.

B2B Appointment Setter – Cold Caller - Native British Accent

Job Overview We are looking for a confident and professional B2B cold caller with native British accent to speak with business owners and decision makers. This role focuses on targeted outreach and natural, consultative conversation — not high-volume call centre activity. You will be contacting independent businesses to introduce a short operational review that helps identify missed revenue opportunities. This is a no-cost review — callers are opening a conversation, not selling a product. This is not blind cold calling. Each call is supported by prepared materials to help you start a more informed and relevant conversation — including a structured script and opening framework, research notes on the business being contacted, and key observations that may be relevant to the conversation. Strong callers use these materials as a foundation, referencing what's relevant while keeping the conversation natural and professional. Schedule & Working Hours You set your own schedule. All calls must be made during mutually agreed calling hours in order to reach business owners at suitable times. Agreed call windows will be confirmed at the time of engagement. Typical windows align with normal business hours in the target country. Weekly Scope • Approximately 100 – 120 outbound calls per week • Expected time commitment: 5 to 6 hours per week • Calls made during mutually agreed hours (caller sets schedule within those hours) • Brief call notes entered in a provided log sheet after each conversation Types of Businesses You May Contact You will be speaking with small to medium sized business owners and decision makers across a wide range of industries, including service businesses, professional practices, local companies, and owner-operated organizations. You will generally speak directly with: • Business owners and partners • Directors and practice managers • Senior decision makers Responsibilities • Make outbound calls from a prepared prospect list • Deliver a clear, professional introduction using the provided script • Hold natural, consultative conversations with business owners • Handle basic objections professionally and calmly • Identify potential interest in the operational review • Schedule qualified prospects into a calendar where appropriate • Record short call notes in the provided log sheet after each conversation Ideal Candidate This role suits someone who: • Is comfortable speaking with business owners and decision makers • Has a confident, natural phone presence • Can follow a structured script without sounding robotic • Understands consultative, conversational outreach • Is professional, reliable, and organized Previous experience in B2B cold calling, appointment setting, or outbound sales is required. Requirements • Native British accent • Reliable internet and calling setup • Professional phone manner • Ability to record simple notes in a provided log sheet (training provided) • Comfort speaking with small and mid-size business owners Compensation Hourly Rate Market Rate (per hour)r United Kingdom £25 – £35 per hour Performance Bonus – Qualified Meetings Booked In addition to the hourly rate, a performance bonus is paid for each qualified meeting booked with a business owner or decision maker who attends the scheduled call. Market Bonus per Qualified Meeting £20 – £40 per qualified meeting Important This role is not suitable for call centre teams or high-pressure scripted outreach. We are specifically looking for individuals who can hold natural, confident conversations and represent the company professionally. How to Apply To confirm you have read this post carefully, please begin your application with the word: Conversation. Please include the following in your application: 1. A short voice recording introducing yourself 2. A brief description of your cold calling or appointment setting experience Applications without a voice recording will not be considered.

Build UK activity and experience operator company database

Overview We are building a structured database of UK activity, tour and experience operators. This is a research-focused project requiring accurate company information plus verified senior decision-maker contact details. Pricing Structure & Proposal Requirements This project is structured as fixed-price batches. We are not publishing a budget range and will be assessing proposals based on methodology, accuracy and commercial fit. Proposals without clear pricing will not be considered. Please provide fixed prices for the following: Trial Batch: 50 completed records Production Batch: Per 1,000 completed records Your proposal should also include: Estimated turnaround time per batch Scope of Work – UK Operator Research (Manual List Building) Research UK-based operators that both take bookings and directly deliver experiences, tours or activities themselves. Include only the actual service providers. Exclude agents, resellers, marketplaces, aggregators or any business that does not run and fulfil the activity in-house. Companies must control and fulfil the experience themselves and must not operate solely as listing platforms, brokers, agents, or ticket resellers. Use the attached market categories document as the target markets. Data Required (columns in spreadsheet) Company Information Company Name Website URL City or Region (UK only) Activity Category Source (Google Maps, Tripadvisor, Viator, GetYourGuide etc.) Decision-Maker Information Full Name of Senior Decision Maker Job Title (Owner, Founder, Managing Director, General Manager, Head of Operations etc.) LinkedIn Profile URL Verified Work Email Address (personalised to the named contact only) Mobile Phone Number (if publicly available) Office Phone Number Booking system used (Bókun, FareHarbor, Rezdy, TrekkSoft, Regiondo, Beyonk, TicketingHub, Bookeo, BookingLive, Xola, bookinghound etc) Quality Expectations UK-based companies only Must have a working website Senior decision makers only Emails must be verified and belong to the named individual Email addresses must be validated using recognised professional verification methods and must not be guessed, pattern-generated, or sourced from bulk lead databases. No generic inboxes Phone numbers must be publicly listed or clearly attributable to the company Profiles must be validated against a current LinkedIn page LinkedIn profiles must clearly show the individual’s current role at the listed company. Profiles without visible company alignment may be rejected. No duplicates One company per row Quality Benchmarks Relevance (Pass / Fail) Companies must be genuine operators that run and deliver their own activities. Decision-Maker Accuracy Contacts must hold senior roles such as Owner, Founder, Managing Director, General Manager or Head of Operations and be validated via LinkedIn. Email Standards Only verified work emails for the named senior decision maker are accepted. Data Structure & Consistency Correct spelling, clean clickable URLs and consistent formatting are required. Trial Batch Benchmarks The first batch will be reviewed against the following benchmarks: Minimum 80% relevant companies Minimum 60% verified senior emails Project Structure & Commitment Phase 1 – Trial Batch The project will begin with an initial trial delivery of 50 completed records. This phase will be used to evaluate research quality, relevance and adherence to the requirements. Phase 2 – Scaled Delivery If the trial batch meets expectations, the project may continue in larger batches of up to 1,000 records at a time. Flexible Engagement This is an ongoing research engagement rather than a fixed-volume contract. Work may be paused or stopped by the client at any stage, during or after any batch, without further commitment or obligation and for any reason. Additional batches must not begin without explicit approval. File Format Microsoft Excel (.xlsx) or Google Sheets format only UTF-8 compatible text formatting Data Ownership All data created as part of this project becomes the sole property of the client upon payment and may not be reused or resold elsewhere. Right to Pause or Stop The project may be paused or stopped after any delivery for any reason by the buyer. Client Acceptance Rights The client reserves full discretion to accept or reject any submitted batch based on relevance, accuracy, structure, or adherence to the requirements outlined in this brief. Acceptance is confirmed only when the client explicitly approves the batch in writing within the platform. If a batch does not meet expectations or benchmarks, the client may reject the submission and discontinue the engagement immediately. If a batch is rejected, the client will not release payment for that milestone. Trial Batch Evaluation The initial 50-record trial batch will be assessed against the stated quality benchmarks. Failure to meet benchmarks may result in rejection of the batch and closure of the contract without further obligation.