Generic LLMs lack your domain expertise. We fine-tune open-source models (Llama, Mistral) and proprietary models on your proprietary datasets, teaching them your industry language, product catalog, and specific brand voice.
Build Scalable
Generative AI Products
For Your Business
Custom Generative AI Solutions. Built for Scale.
Most businesses want to deploy Generative AI but get stuck on security, hallucinations, and high token costs. Capital Compute builds enterprise-grade GenAI software, custom LLM fine-tuning pipelines, and advanced RAG systems that run securely on your cloud infrastructure. Get a production-ready AI solution built by senior engineers, with a fixed-price estimate in 2 business days.
Get a Free AI Project Estimate
Fixed-price estimate in 2 business days
GDPR-compliant & secure AI architecture
Senior engineers from day one
Fixed-price estimate in 2 business days
GDPR-compliant & secure AI architecture
Senior engineers from day one
Fixed-price estimate in 2 business days
GDPR-compliant & secure AI architecture
Senior engineers from day one
Fixed-price estimate in 2 business days
GDPR-compliant & secure AI architecture
Senior engineers from day one
SERVICES
Our Generative AI<br />Development Services
Prevent hallucinations by grounding LLMs in your actual databases. We build high-performance vector search engines, document parsers, and semantic search pipelines that feed precise business context to AI models.
AI is most powerful when it acts. We design and build autonomous AI agents that handle multi-step workflows, call internal APIs, write and review code, and execute background operations without manual intervention.
Connect AI capabilities to your existing software. We design robust middleware, secure API gateways, and token-management wrappers that link OpenAI, Anthropic, or local models directly into your legacy tools.
AI infrastructure can be expensive. We set up cost-optimised inference pipelines, vector databases (Pinecone, pgvector), model monitoring platforms, and automated fallback logic to ensure high reliability and low latency.
Protect your IP and customer privacy. We design and implement secure proxy layers, PII filtering pipelines, and prompt-injection defense mechanisms, ensuring your data never trains public models.
Tech Stack
The Right Tool for the Right Job - 20+ Production-Tested Technologies
Web
JavaScript 
TypeScript 
React 
Angular 
Vue 
Next.js 
Astro 
Node.js Mobile
React Native
Swift 
Kotlin 
Flutter 
Ionic Desktop
Electron 
Tauri
Cloud, Data &
Analytics
Analytics
AWS
AWS
AZ
Azure
PostgreSQL 
MySQL 
MongoDB 
Analytics BI
AI & Automation
OA
OpenAI
Claude 
Python 
Vector Search 
Automation
Benefits
Why Custom Generative AI Development Beats Generic Out-of-the-Box API Tools
Secure Data Boundaries
Off-the-shelf wrappers send your data to third parties where it may be retained or used for training. Our custom solutions run on your private cloud (AWS, Azure) or local servers, keeping your proprietary IP and customer data completely isolated.
Zero Token Markup
SaaS tools charge high markups on top of raw API costs. By building a custom platform, you pay raw provider rates or run open-source models on dedicated server instances, reducing operational AI costs by up to 70% at scale.
Zero Hallucinations
Generic LLMs guess when they lack data. We ground your AI using advanced RAG and semantic routing, forcing models to cite internal sources or gracefully hand off to a human when the answer is not in your dataset.
Tailored Conversational Flows
A generic chatbot cannot handle complex business logic or multi-step API calls. We build bespoke conversational engines that follow exact business logic, call internal databases, and execute tasks dynamically.
Dedicated Team
Your Dedicated Generative<br />AI Engineering Team
Standard outsourcing teams lack real experience with vector databases, semantic chunking, and prompt optimization. Capital Compute embeds senior AI engineers directly in your sprint cycle with direct communication, daily updates, and weekly reviews.
- Internal AI Engineers: We never subcontract your project.
- Dedicated AI Architect: A single point of contact from day one through launch.
- Daily Updates: Async reports and weekly reviews on your schedule.
- PII-Safe Engineering: We design for strict UK GDPR compliance.
Let's build your AI
Why choose us
What Separates Our AI Engineering From Build-and-Disappear Agencies
No Subcontracting. The Team You Meet Is the Team That Builds.
Most agencies win contracts with senior engineers and outsource the actual development to offshore juniors. Capital Compute operates with internal engineers only - no subcontracting. The AI specialists who scope your project are the ones writing code.
From thinking to thriving
How Capital Compute Builds Generative AI Solutions
01
STEP 1
AI Feasibility & Discovery
We analyze your data assets, define use cases, assess model options (proprietary vs. open-source), and map security boundaries. Output: detailed technical specifications and a fixed-price estimate.
02
STEP 2
Architecture & RAG Planning
We design the data pipeline, chunking strategy, vector search database, and fallback paths. Output: database schema, model routing layout, and sprint roadmap.
03
STEP 3
Iterative Development
We build data connectors, fine-tune models, and deploy vector pipelines in parallel. You approve each sprint increment before the next begins. Daily updates throughout.
04
STEP 4
Prompt Engineering & Testing
We conduct automated adversarial testing (prompt injection, PII leak tests) and evaluate model output accuracy and latency. Output: complete QA and evaluation report.
05
STEP 5
LLMOps & Monitoring
We deploy the system to production with cost-monitoring dashboards, semantic cache layers, and real-time error tracking. Retained support is available on a rolling basis.
Industry we serve
AI Solutions Built for Your Sector. GDPR-Compliant. Never Generic.
Custom content generation engines, automated asset taggers, campaign performance predictors, and CRM-linked personalisation tools that process client data securely without training public models.
HIPAA and GDPR-compliant clinical summary generators, patient portal assistants, and medical literature search engines built with strict data isolation and clinical verification steps.
Automated match commentary generation, player stats analysis, content summarization for OTT platforms, and personalized fan interaction tools that handle high peak concurrent traffic.
Contract review automation, AI-assisted litigation research, document semantic search, and clause generators built with strict confidentiality and verification workflows.
Secure document search, automated report generation, audit trail logging, and customer support RAG bots designed around strict regulatory compliance and audit logs.
Automated maintenance manual search, supplier query processors, and operational log analytics engines that interface with legacy ERP and factory database systems.
Delivery address parsers, customer query routing tools, and automated shipper update systems that connect directly with transport management databases and carrier APIs.
AI product descriptions at scale, conversational product advisors, search engine optimization generators, and support chatbots integrated with real-time inventory systems.
CASE STUDY 
How we built BoomShare
View Case Study → AI-powered screen and video recording, built for teams.
We built the high-performance screen recording engine, AI video editor, and instant sharing platform. Native desktop app, mobile apps, and 50+ language dubbing.
10 WEEK DELIVERY TIME
DESKTOP
IOS
ANDROID
PLATFORMS IOS
ANDROID
40%+ CONVERSION UPLIFT
Service model
Choose from our hiring models
Starter
Developer + Basic AI workflow
- ★ Dedicated dev
- ★ AI workflow
- ★ Cost efficient
Most Popular
Developer + Part time Technical Architect + Basic AI Workflow
- ★ Dedicated dev
- ★ AI assisted delivery
- ★ Scalable structure
Scale
Developer + Part time Technical Architect + Advanced AI Workflow
- ★ Dedicated dev
- ★ Unlimited AI credits
- ★ Faster iterations
FAQs
Frequently Asked Questions
We work with both proprietary models (OpenAI GPT, Anthropic Claude) and open-source models (Llama, Mistral). We choose the model based on your specific requirements for data privacy, performance, latency, and token cost.
We build secure, isolated proxy layers and run models inside your private cloud environment (AWS VPC, Azure Private Link). This ensures your proprietary data and customer information never leave your boundary and are never used to train public models.
Retrieval-Augmented Generation (RAG) is a technique that connects an LLM to your internal databases. When a user asks a question, the system searches your vector databases for the exact facts and passes them to the LLM. This prevents hallucinations and ensures the model only outputs verified information.
Timeline depends on complexity. A RAG-powered document search tool or conversational assistant can be deployed as an MVP in 4 to 8 weeks. Comprehensive multi-agent automation systems typically take 3 to 6 months.
We deliver a fixed-price estimate within 2 business days of our discovery call. Pricing depends on the scope of data pipelines, integration requirements, and model selection.
Yes. We frequently deploy fine-tuned open-source models (like Llama 3 or Mistral) on dedicated virtual machines. This gives you complete control over the codebase and data, with zero dependency on third-party API availability.
Book a discovery call to discuss your use case. We will analyze your feasibility, data, and security requirements, and deliver a detailed scope proposal and fixed-price estimate in 2 business days.
- FINAL STEP -
Ready to Deploy Custom Generative AI<br />That You Own Outright?
Most AI projects fail because they rely on fragile prompt templates or send sensitive data to public APIs, creating compliance risks and unpredictable costs.
Capital Compute builds robust, enterprise-grade AI software that is completely secure, runs inside your private cloud, and uses advanced RAG to deliver accurate, hallucination-free outputs.
Our discovery call takes 30 minutes. You leave with a clear technical roadmap, a model recommendation, and a fixed-price project estimate in 2 business days.
Average response time: <4 business hours
USA • UK • Canada • Australia • Middle East