Production AI Systems

We build AI systems that work.

Not strategy decks. Not POCs. Production systems that pass the 2 AM test.

See what we build Talk to us

The Reality

The execution gap is real.

88%
of AI pilots never reach production
MIT NANDA Research
95%
of GenAI pilots deliver zero measurable return
Industry Analysis 2024
$200B
enterprise AI spend by 2028
mostly wasted on strategy

"Our AI transformation roadmap is comprehensive and positions us well for the future."

— Big 4 AI Transformation Report, delivered 18 months and $4M later. Zero systems in production.

"We've completed the discovery phase and are ready to move into strategy definition."

Approach

How we're different.

We ship systems

Every engagement ends with working software in production. 4–12 week timelines. Not roadmaps.

Governance is architecture

RBAC, guardrails, and audit logging baked in from day 1. Not bolted on after the fact.

Vendor-neutral

We recommend what fits your situation. Hardware partnerships, but recommendations are driven by your requirements.

Full-service

Hardware procurement through managed operations. Or just the architecture and handoff. Your call.

Products

Our platform ecosystem.

Four interconnected products built from real consulting engagements.

Lake

Enterprise Data Foundation

Iceberg-based DataLake with hybrid search — keyword, semantic, and freshness scoring in a single query.

  • Connectors: SharePoint, Salesforce, Email, Teams, file drop
  • Tenant-isolated, GDPR-ready, governance baked in
  • Powers KIRT and any downstream intelligence layer

KIRT

Knowledge In Real Time

AI-powered account intelligence layer with LangGraph multi-agent pipelines for research, prep, and insights.

  • Research reports, engagement prep, meeting summaries
  • Cross-sell recommendations via pgvector similarity
  • Branded deliverables exported to SharePoint

Forge SDLC

AI-Powered Development

8-agent SDLC pipeline that composes PreFlight research, GSD execution, and ECC quality gates.

  • Agents: Research, Dev, Testing, Security, Ops, UX, Memory, Manager
  • Greenfield and brownfield AI development
  • Semi-automated: Manager recommends, you approve

Enterprise AI Framework

Consulting Methodology

6-phase lifecycle: Discover → Educate → Advise → Propose → Build → Operationalize.

  • Maturity assessment (6 dimensions), intake questionnaire
  • Engagement tiers from $100K starter to enterprise managed ops
  • Compliance: NIST AI RMF, EU AI Act, SOC 2, HIPAA

Pricing

Engagements.

Starter

~$100K
services + hardware
  • 4–8 weeks to production
  • One use case live in production
  • Gateway + RAG + governance + monitoring
  • Small GPU server, 8–13B models
Get started
Most popular

Standard

$200–500K
services + hardware
  • 8–12 weeks to production
  • 3–5 use cases, compliance mapping
  • Multi-tier inference (8B + 70B models)
  • Full RBAC, audit trail, red-team testing
Get started

Enterprise

Custom
long-term partnership
  • Managed operations
  • Fractional AI CTO
  • Hardware procurement (Dell, HPE, IBM, NVIDIA)
  • Long-term partnership
Let's talk

Contact

Ready to stop piloting
and start producing?

Drop us a line. We'll respond within one business day.

Or email us directly at [email protected]