Security & compliance by design
Your data stays on your infrastructure. We build with your security policies, access controls, and compliance requirements as constraints, not afterthoughts.
Enterprise AI Solutions
Custom AI Systems Built for Enterprise Scale.
We partner with enterprise teams to design, build, and deploy fully custom AI infrastructure, from RAG knowledge systems to autonomous agents, using open source foundations you own and control.
- Private deployment on your infrastructure
- You own all IP and source code
- No vendor lock-in
Why custom
Off-the-shelf AI tools weren't built for your business.
Generic SaaS AI products are designed for the average case. Enterprise workflows, data governance requirements, and security standards demand something built specifically for you.
No vendor lock-in
Everything we build runs on open source foundations. If you ever want to move, extend, or rebuild, your team can. You're never hostage to a pricing change or a product shutdown.
Full IP ownership
Every line of code, every trained model, every pipeline we build belongs to you. We hand over the full codebase, documentation, and deployment configs at project close.
What we build
Six capabilities, all custom.
We don't adapt templates. Every system is designed from scratch to fit how your team actually works, what data you have, and what outcomes you need.
RAG Knowledge Systems
AI that answers from your internal documents, databases, and policies, with citations, zero hallucinations, and role-based access control.
- LlamaIndex
- ChromaDB
- pgvector
- Weaviate
AI Agents & Copilots
Autonomous agents that complete multi-step tasks, call your APIs, and operate inside your existing tools, Slack, Teams, your internal portals.
- LangChain
- CrewAI
- AutoGen
- Custom orchestration
Workflow Automation
End-to-end process automation that connects your systems, handles exceptions, and routes decisions, without anyone doing it manually.
- n8n
- Apache Airflow
- Custom pipelines
Private LLM Deployments
Self-hosted language models running on your servers or private cloud. Full control, no data leaving your environment, model fine-tuned on your domain.
- Ollama
- vLLM
- HuggingFace
- Fine-tuning
Integration & API Layers
Custom connectors that wire your AI systems into your CRM, ERP, HRIS, and internal tools so the intelligence reaches where decisions happen.
- REST APIs
- Webhooks
- CRM
- ERP
Data Pipelines & Vector Infrastructure
Ingestion, embedding, chunking, and retrieval pipelines built for scale, so your AI always works from fresh, structured, and queryable data.
- PostgreSQL
- ETL
- Vector stores
- Embeddings
Open source foundation
Built on tools your team can audit, extend, and own.
We work across the full open source AI stack. The specific tools we choose depend on your infrastructure, data, and scale requirements.
- LangChain
- LlamaIndex
- Ollama
- ChromaDB
- n8n
- Weaviate
- pgvector
- HuggingFace
- vLLM
- CrewAI
- Anthropic Claude
- OpenAI APIs
We select the right tool for each project. We don't lock you into a single vendor or framework.
How it works
From first call to live system.
We keep the process direct. No 6-week discovery sprints, no strategy decks. You get a working system, not a roadmap.
Discovery
We get on a call, understand your workflows, data landscape, and what outcomes you actually need the system to deliver.
Architecture
We design the system, tech stack, data flow, integration points, access model, and walk you through it before a line of code is written.
Build & Test
We build, integrate, and test against real scenarios with your team. You see the system working before we close the project.
Handover
Full deployment on your infrastructure, documentation, and a handover session so your team understands and can operate what we built.
Support & Maintenance
Ongoing support after launch, we monitor performance, apply updates, and incorporate your feedback so the system keeps improving over time.
Everything you need. Nothing you don't.
Every engagement is scoped around your actual problem, not a package with features you'll never use.
You own the source code
We hand over the full repository. Your team can read, modify, and extend every part of what we built, no black boxes.
Deployed on your infrastructure
On your cloud account, your servers, or on-premise. Your data never passes through our systems or any third-party SaaS.
No ongoing fees to us
We charge for the build, not for existence. Once delivered, you run it. No monthly fees, no usage caps, no surprise invoices.
FAQ
Frequently Asked Questions
What makes this different from hiring an AI consultant?
Consultants write reports and recommendations. We build and deploy the actual system. At the end of the engagement, you have working software running in your environment, not a slide deck.
How long does a typical enterprise engagement take?
It depends on scope. A focused RAG system or agent can be delivered in 2–4 weeks. More complex multi-system builds with integrations typically run 6–12 weeks. We scope this clearly upfront.
Do we need to have our data ready before starting?
Not fully. We help assess your data landscape in the discovery phase and design the ingestion and preparation pipeline as part of the build. Having a rough inventory helps, but isn't a prerequisite.
Can you work with our internal engineering team?
Yes, and we prefer it. Embedding with your team means faster decisions, cleaner integration, and a smoother handover. We're comfortable working in your repo, your stack, and your deployment processes.
What happens after the project is delivered?
Every project includes a support period post-handover. Beyond that, we offer optional retainer arrangements for ongoing improvements, monitoring, or expanding the system.
Strategy call
Ready to build your AI system?
Book a strategy call and we'll scope your project in the first session.
Book a free discovery call