Services
03 — AI Integration

AI that works
for your business.

We don't just talk about AI — we implement it. From integrating leading platforms like OpenAI and Anthropic into your workflows, to building fully custom models trained on your own data. Safe, practical, measurable.


AI is moving fast.
Your business should too.

Every company is asking the same question: where does AI fit? The answer is different for everyone — and getting it wrong wastes time, money, and trust. We help you find the right answer and execute on it.

We work with the best AI tools and platforms available today. But we also build custom solutions when off-the-shelf isn't enough — using open-source models that you own, trained on your data, running on your infrastructure. No vendor lock-in. Full control.

AI isn't a seed you scatter on top. It's a root system under how your business thinks.

What We Deliver

Strategy that
actually ships.

AI Strategy & Roadmapping

We audit your workflows, identify where AI creates real value, and build a phased roadmap — so you invest in the right things first and see ROI fast.

GPTClaudeGeminiOpen Source

AI Strategy & Roadmapping

Audit, roadmap, and ROI projection in 2 weeks.

GPTClaudeGeminiOpen Source

Custom AI Agents & Copilots

Purpose-built AI assistants that understand your business context. Integrated into your tools, trained on your processes, with guardrails that keep them reliable.

LangChainVercel AI SDKMCP

Custom AI Agents & Copilots

Integrated into Slack, Teams, or your own platform.

LangChainVercel AI SDKMCP

The AI plate shows data paths converging into controlled lanes: retrieval, tools, model calls, and human checks in one system.

Useful intelligence needs structure.

Custom Models (Open-Source)

Custom Models (Open-Source)

Your data, your model, your infrastructure. No vendor lock-in.

Guardrails AIPresidio

RAG Systems

Retrieval-Augmented Generation that connects AI to your knowledge base. Your documents, databases, and wikis become instant answers — accurate, sourced, and up to date.

pgvectorPineconeWeaviate

RAG Systems

Vector search over your docs, wikis, and knowledge base.

pgvectorPineconeWeaviate

AI Safety Implementation

We build AI safety directly into your business. Secure usage policies, access controls, data protection, content filtering, and responsible AI workflows your team can trust.

Audit LogsGDPROn-Premise

AI Safety Implementation

Usage policies, content filtering, and audit logs.

Audit LogsGDPROn-Premise

Safety is a boundary layer: policies, audit trails, and access rules that make AI usable without making it careless.

How We Work

Practical AI.
Not hype.

01 — Step 1 of 4

Assess

We map your processes, data, and team capabilities. We find where AI creates leverage — not where it creates complexity.

02 — Step 2 of 4

Prototype

Quick proof-of-concept with real data. You see the AI working in your context within weeks, not months. If it doesn't deliver value, we pivot early.

03 — Step 3 of 4

Implement

Production-grade deployment with monitoring, fallbacks, and safety layers. We integrate into your existing tools — Slack, CRMs, internal apps, whatever you use.

04 — Step 4 of 4

Enable

We train your team to use, monitor, and improve the AI systems. You don't depend on us — you own the capability.

Platforms & Tools

We work with the best.

Leading AI platforms for production use. Open-source models for full ownership. The right tool for every use case.

AI Platforms

OpenAIAnthropicGeminiHugging Face

We integrate with all major providers. GPT for versatility, Claude for reasoning, Gemini for multimodal, Hugging Face for open-source model hosting.

Frameworks & Orchestration

LangChainLlamaIndexCrewAISemantic Kernel

Agent orchestration, chain-of-thought workflows, and tool-use patterns. We build AI systems that reason, not just respond.

Data & Storage

Vector DBsPineconeWeaviatePostgreSQL + pgvector

Semantic search and retrieval at scale. We pick the vector store that matches your data volume, query patterns, and infrastructure.

Languages & Infrastructure

PythonTypeScriptDockerAWS / Vercel

Python for ML pipelines and model fine-tuning. TypeScript for API layers and integrations. Containerized deployments for reproducibility.