
Turn scattered knowledge into answers you trust.
We build the knowledge layer that lets AI answer from your real systems, with sources attached — and shows each person only what they're already cleared to see.














Cited answers from your systems, permission-checked.

Grounded, cited answers
Every answer comes from your real systems and shows its sources, so anyone can check it. Grounding and citation are what separate a usable answer from a confident guess.

Permission-aware access
Answers respect the access rules you already have. We wire in your existing AD and RBAC model, so the layer shrinks your oversharing exposure instead of amplifying it.

Connects your real systems
We reach into the wikis, drives, and tools your knowledge actually lives in, including the custom and proprietary ones no vendor's connector list covers.

Built for future agents
Built on open standards — MCP and RAG — so the layer is yours, not rented. Every agent you ship after this one reuses the same grounded, governed foundation.

Enterprise software platforms
Develop the systems that run your business.
- ERP and CRM development
- ATS and internal operations tools
- Workflow automation systems
- Enterprise system integrations

Intelligent software architecture
Design software foundations built for long-term scale.
- Scalable system architecture
- Performance and reliability engineering
- Cloud-native infrastructure design
- AI-enabled engineering workflows
Our client impact in action

AI Research Assistant Accelerates Client Journey
Lux Research, a research and advisory firm, faced a specific bottleneck: 75% of client inquiries took more than seven days to schedule manually. FullStack built an AI-powered assistant that delivers cited insights in seconds and matches clients to the right analyst, enabling instant scheduling.

AI call auditor automates 99% of reviews.
A regulatory compliance firm partnered with FullStack to build an AI system that reviews calls for potential SEC violations. The tool scores accuracy and confidence, reducing human review to just 1% of transcripts and saving an estimated 5,500 labor hours and $232,000 annually.

We Routed Our Own AI Stack
FullStack is building and running its own gateway across internal AI usage on Connect and Labs tooling, and will publish the real numbers: cost reduction, quality retention, latency, and failover uptime through actual provider outages.
What our clients are saying
Start with an audit, not a build.

A blueprint and roadmap in one week
You get the audit, an architecture blueprint, and a sequenced roadmap before any build begins.

The pilot that stalled is the starting point
Nearly every enterprise has run a "ChatGPT on our docs" pilot that hit a wall on accuracy and permissions. The demand is already proven internally. Productionizing it is the work.

Permissions are where this gets hard
Permission propagation is the single most common reason internal builds stall. Industry reporting puts 16% of business-critical data as overshared and finds at least one broken permission inheritance in more than 80% of M365 tenants. We audit that before we connect anything.

We extend what you already bought
If you own Microsoft 365 Copilot or Google Agentspace, we govern and extend them rather than replacing them, and reach the custom systems their connectors can't.
Explore FullStack's enterprise knowledge services.
- Access and knowledge audit
- Oversharing and entitlement exposure mapping
- Taxonomy and knowledge architecture design
- MCP server development and deployment
- RAG pipeline and retrieval layer build
- Custom connectors into proprietary systems
- Permission propagation from AD and RBAC
- Grounded agent skills with inline citations
- Rollout, training, and adoption support


