01
Strategy
Board-level vision, an honest ROI model, and a prioritized set of use cases your team can actually ship this quarter.
We turn enterprise ambition into production-ready AI — fast.
We're outcome-driven forward deployment AI engineers who solve this problem inside your codebase — not on a slide.
Most AI programs stall between pilot and production. Ours don't — because the engineers writing the code have already shipped this pattern before, and they bring a lab of pre-built infrastructure (gateway, MCP, tracker) on day one. You pay for hours on what's unique to you.
Our engineers were forward-deployed at AI.pro and SMBAgents.ai.
How we engage
Four moves. One outcome.
The shape of the work doesn't change: align on strategy, map the processes, deploy engineers, and leave your team owning what we built.
02
Process Mapping
We instrument your real workflows to find where humans wait, where context is missing, and which processes deserve to be rebuilt agent-first.
03
Forward Deployment
Engineers embed inside your team and write the code. They bring the playbook from prior production builds — not a slide deck.
04
Build & Handover
We ship into production, prove adoption with telemetry, and leave your team owning the system. No license, no lock-in.
What CIOs are asking us for
From shadow AI to one audited control plane — in a quarter.
These are the exact patterns enterprise teams are pulling us in to build right now. We deploy them inside your VPC, wired to your SSO, your repos, and your data.
Control plane
Stand up the LLM proxy
One audited hop between every employee, IDE, and agent and the approved models. SSO, RBAC, per-team budgets, and a kill switch on day one — so AI usage stops being invisible.
Visibility
Audit every call with the AI Tracker
Who asked what, which resource, allowed or blocked, and why — exportable to your SIEM. Your CISO sees the same evidence your developers do.
Context
MCP-fy your systems
Jira, Confluence, GitHub, Snowflake, internal wikis — wrapped as MCP servers and routed through the proxy. Agents finally have context on your actual work, not the public internet.
Safety
Guardrails for PII and secrets
Inline detection and redaction for AWS keys, API tokens, private keys, and customer PII — before a single byte reaches a third-party model. Policy lives in the gateway, not in a thousand prompts.
★ Flagship
The flagship
Ship one product end-to-end, in natural language.
runtime · ship
Change the home page hero CTA button to green and deploy.
AI
✓ Opened PR #2418 in web/marketing
✓ Tests passed · policy check passed
✓ Deployed to staging · preview posted to #releases
Your product manager types one sentence. The agent opens a PR against the right repo, runs the test suite, passes the policy check, deploys to staging, and posts the preview in Slack. All audited. All inside your VPC. That's the outcome we wire up — not the demo.