One sprint to production

Production AI agents in one sprint.
Any model. Anywhere.

We deploy AI agent systems on any LLM, on any infrastructure — cloud, on-prem, air-gapped, or hybrid. No vendor lock-in, no AI team required, with a money-back guarantee.

Any LLM • On-Prem • Air-Gapped • Cloud • Hybrid

The real barriers to enterprise AI

Your data can't leave the building

Classified, HIPAA, CJIS, and ITAR workloads can't touch the cloud. Most AI vendors can't even get through the door.

AI projects drain time, budget, and talent

Data pipelines, ETL buildouts, specialized AI hires, custom orchestration code — traditional projects take 6–12 months and pull your best engineers away from the business applications that actually drive revenue.

Committing to one LLM is a trap

The AI landscape is evolving weekly. Organizations locking into a single LLM ecosystem today will be stuck rewriting everything when better models emerge tomorrow.

AI without governance is a liability

Deploying AI agents without audit trails, approval gates, and role-based access isn't innovation — it's risk. Security and compliance can't be bolted on after the fact.

Skip the complexity.
Go straight to production.

We handle the hardest parts of enterprise AI deployment — the parts that stall every other project for months.

No cloud required

We deploy AI systems that run entirely inside your infrastructure. No internet connectivity needed. Your data never leaves your environment.

Your data just works

Point AI agents at your existing data — documents, tickets, databases, shared drives. It's automatically indexed and organized into searchable knowledge stores. No ETL pipelines. No data mapping. No months of prep.

Multi-agent coordination handled

Specialized AI agents that research, analyze, execute, and report — coordinated automatically. No custom routing logic, retry handling, or orchestration code to write.

LLM-agnostic by design

Don't bet your infrastructure on one provider. Our deployments work across OpenAI, Anthropic, Gemini, Llama, and local models — swap anytime without rewriting a thing.

Governance from day one

Audit trails, approval gates, role-based access, and full observability are built into every deployment. Your compliance team will actually sign off on this.

Weeks to production — no AI team needed

The industry average is 6–12 months with a team of ML engineers and data scientists. We deliver working AI workflows in two weeks using your existing team — no specialized hires, no complex code, no developers pulled off critical business apps.

Proven in production

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Days to first deployment
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Active deployments
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Cloud dependencies required

Critical infrastructure ISAC

AI agents synchronize government threat intelligence against cybersecurity policies, tools, and configurations — inside a mandatory air-gapped environment. Live in 2 days.

Air-gapped manufacturing

Fully isolated AI deployment for a sensitive manufacturer. Zero cloud dependency, zero data egress. Validated our architecture for classified and regulated environments.

Operational automation

Multi-agent workflow automating operational tasks across a portfolio company. Deployed in days, not months — demonstrating this works across any industry.

2-Week Money-Back Guarantee

We scope the engagement and define success criteria together. If we don't deliver a working AI workflow that meets those goals within two weeks, you get your money back.

Start Your Deployment
Terms and conditions apply. Scope must be mutually agreed upon before engagement begins.