Generic AI wrappers lack domain knowledge and security. We build enterprise-grade Generative AI software, fine-tune open-source models (Llama, Mistral) on your custom datasets, and implement secure pipelines that run entirely inside your private cloud environment.
Build Scalable
AI-Powered Software
For Your Business
Custom AI Software & Automation. Built for Scale.
Most businesses want to deploy Artificial Intelligence but get stuck on data privacy, API latency, and high token costs. Capital Compute builds secure, enterprise-grade AI platforms, custom LLM fine-tuning pipelines, autonomous multi-agent systems, and context-aware chatbots that run inside your private cloud. 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 AI engineers from day one
Fixed-price estimate in 2 business days
GDPR-compliant & secure AI architecture
Senior AI engineers from day one
Fixed-price estimate in 2 business days
GDPR-compliant & secure AI architecture
Senior AI engineers from day one
Fixed-price estimate in 2 business days
GDPR-compliant & secure AI architecture
Senior AI engineers from day one
SERVICES Our Custom Artificial
Our Custom Artificial
Intelligence Services
Navigate AI complexity with confidence. We provide technical risk assessments, model selection blueprints (open-source vs. proprietary), token-cost projections, security boundary designs, and compliance audits to ensure high-ROI AI adoption.
AI is most powerful when it acts. We design and build autonomous AI agents using LangGraph and CrewAI that can plan tasks, query databases, execute secure API calls, self-correct errors, and coordinate to automate complex backend workflows.
Automate user and internal support 24/7. We develop custom Retrieval-Augmented Generation (RAG) chatbots integrated with your vector databases and CRM systems (Zendesk, HubSpot, Salesforce) to deliver accurate, context-aware answers.
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 AI Engineering Beats Off-the-Shelf SaaS Wrappers
Secure Data Boundaries
Commercial SaaS tools send your proprietary data to third parties, risking data leaks. Our custom AI solutions run inside your private cloud (AWS, Azure) or local servers, keeping your IP and client information strictly within your firewall.
Zero Seat Licensing & Markup
Out-of-the-box platforms charge high markups per seat. By building a custom platform, you pay raw provider API 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 information. We ground your AI using advanced vector search databases and semantic routing, forcing models to cite internal records or gracefully hand off to a human when the answer is unavailable.
Custom Workflow Integration
Standard chatbots cannot handle complex business logic or trigger database writes. We construct custom agentic loops that execute tasks, call backend APIs, and run background processes securely.
Dedicated Team Your Dedicated AI
Your Dedicated AI
Engineering Team
Standard outsourcing teams do not understand vector databases, semantic chunking, prompt optimization, or agent evaluation metrics. Capital Compute embeds senior AI developers 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: Designed for strict compliance and UK GDPR.
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 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 AI Solutions
Ready to Deploy Custom AI Solutions
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
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