Private internal LLM platform
Your own ChatGPT. Wired into your actual tools.
Most orgs arrive at the same conclusion: a public AI tool is useful at home but brittle at work. Your engineers need something that knows your codebase, respects your policies, talks to your ticketing system, and never sends customer data somewhere you can't audit. We build that.
What we build
A self-hosted, branded AI chat platform running on infrastructure you control — in your cloud, in your VPC, behind your SSO, bound by your policies. It's modeled on the heavily-modified LibreChat deployment we built for a 200-dev fintech, and it's the thing your engineers will actually use all day because it knows their world.
What it connects to
Not a generic chatbot. A platform wired into the tools your engineers already use, via the Model Context Protocol (MCP) and direct integrations:
Atlassian Jira
Read tickets, post comments, transition status, link PRs.
Atlassian Confluence
Search docs, summarize pages, draft updates, ground answers in your actual knowledge base.
qTest
Query test runs, triage failures, generate test case drafts from acceptance criteria.
Azure DevOps
Pull request flows, pipeline inspection, work item automation.
GitHub / GitLab
Repo context, PR reviews, inline commentary, org-wide code search.
Grafana / Datadog
Read metrics, inspect alerts, draft incident timelines.
Slack / Teams
Notifications, slash commands, async workflows.
Your internal APIs
Custom MCP servers we author for whatever proprietary systems your engineers need to talk to.
What your engineers get
Multi-model routing
Claude, GPT, Gemini, Bedrock, and open-source models behind one interface. Engineers pick the right model for each task; you control the spend.
Custom agents per team
Platform, security, data, and each product team build their own agents with their own system prompts, tool permissions, and grounding docs. Share within the org.
RAG on your docs
Upload runbooks, architecture docs, policies, onboarding guides. Agents ground their answers in your actual content — not the public internet.
Audit logging
Every prompt, every response, every tool call logged with user identity. Your security and compliance teams get an auditable trail from day one.
SSO and SCIM
SAML, OIDC, and SCIM user provisioning via your existing identity provider. No separate password store.
Per-user budgets
Rate limits, daily token budgets, and spend dashboards so a runaway loop doesn't cost a fortune.
How we deliver
- Discovery (1 week). We audit your current AI landscape, tool integrations, data sensitivity, SSO and compliance posture, and what your engineers actually need.
- Platform build (3–6 weeks). Deploy the branded chat platform in your cloud, wire up the MCPs for your stack, hook SSO and audit logging, seed the first round of team agents.
- Enablement (ongoing). Train your engineers and platform team to extend it. You own the thing; we hand it over and stay as a partner.
Built this before. Can build it for you.
Our founder built the reference implementation of this platform at a 200-dev fintech. It's been running in production with every engineer using it daily for months. We know what breaks, what your security team will ask, and what your engineers will secretly want after week two.