Production AI Systems

We build AI systems that work.

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

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.

Partner-native

We integrate with Red Hat OpenShift AI, Dell AI Factory, and IBM watsonx. Our governance, observability, and guardrails layer complements what your platform vendor sells.

Getting Started

How we engage.

From a 2-day workshop to a full enterprise platform. Entry at any stage — start where you are.

1

AI Ideation Workshop

$15–25K 2 days

Prioritize use cases, kick off governance, measure AI maturity — walk out with a ranked list of what to build first.

2

AI Readiness Assessment

$40–60K 2–4 weeks

6-dimension maturity scorecard, gap analysis, and a 90-day roadmap — know exactly where you stand before committing budget.

3

Proof of Value

$15–40K 2–4 weeks

Governed platform + 1 live use case with your real data. No hardware commitment upfront — prove it works before you invest.

4

Starter Platform

~$100K 4–8 weeks

Full AI platform with governance, one use case live in production, and hardware provisioned — your team owns it end-to-end.

5

Standard / Enterprise

$200K+ 8–12+ weeks

Multi-use-case platforms, managed operations, fractional AI CTO, and long-term partnerships for organizations going all-in on AI.

Entry at any stage — start where you are.

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

How we start

The engagement model.

Every full platform build starts somewhere. These are the door-openers — low-risk ways to establish what's real and what's worth building.

1
Entry point

AI Ideation Workshop

$15K–$25K
2 days

Prioritize use cases, kick off governance, measure AI maturity. Walk out with a ranked list of what to build first.

2
Or start here

AI Readiness Assessment

$40K–$60K
2–4 weeks

6-dimension maturity scorecard, gap analysis, and a 90-day roadmap. Know exactly where you stand before committing budget.

3
De-risk first

Proof of Value

$15K–$40K
2–4 weeks

Governed platform + 1 live use case with your real data. No hardware commitment upfront. Prove it works before you invest.

Then choose your platform tier

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

Ongoing engagements

Monthly retainer

Fractional AI CTO

$10K–$20K/mo
architecture leadership + oversight
  • Architecture leadership and code review
  • Governance and compliance oversight
  • For teams with the platform but not the expertise
Let's talk
Fixed scope

Rescue Engagement

$40K–$80K
diagnose, rebuild, ship
  • Inherited a failed AI project
  • Full diagnosis: architecture, data, governance
  • Rebuild and deliver to production
Get diagnosed

Industry

We know your industry.

BFSI

Banking, Financial Services & Insurance

Compliant AI for regulated financial environments — governance-first from day one.

SOC 2 PCI-DSS GLBA SEC/FINRA EU AI Act SR 11-7

Healthcare

Providers, Payers & Life Sciences

High-risk AI deployments with patient data protection and clinical validation built in.

HIPAA HITECH FDA 21 CFR EU AI Act High-Risk

Manufacturing

Industrial, Defense & Critical Infrastructure

Operational AI for the shop floor — quality, safety, and supply chain with export controls baked in.

ISO 9001 ISO 27001 ITAR/EAR IEC 62443

Partner Channel

We extend what your platform vendor delivers.

Your hardware and platform vendor delivers the substrate. We build the governance, observability, and use cases on top.

Red Hat OpenShift AI
Platform substrate
Dell AI Factory
Infrastructure layer
IBM watsonx
Enterprise AI platform

Contact

Not sure where to start?

Start with a workshop and walk out knowing exactly what to build. Or just talk to us about your situation.

Or email us directly at [email protected]