CASE STUDIES
AI systems that actually run in production
Built by startups that needed them to work — not impress
IN COMMON
What our clients have in common
They’re not buying “AI.” They’re buying reliable production execution.
CASE STUDIES
Case studies that actually shipped
Each one is a full production system—designed for real constraints, not demo conditions.
NEST — Enterprise AI Infrastructure
Context Zero — from white-paper to production in 3 months
The problem
Companies rent their AI workforce across 15+ fragmented tools. Zero memory, zero per-project audit, zero cost control.
What we built
NEST — a self-hosted AI hub that centralizes models, agents, memory and traceability in a single governed operational plane.
The result
✓3 months from white-paper to production
✓200+ Docker pulls in month one — zero marketing
✓54 organizations across 3 continents
Why this matters for startups
We led the build as CAIO and CTO while managing the engineering team. That's what compressed a one-year roadmap into a single quarter.
PRODUCTS
The other systems FACTA ships
Real products, in production today — not hypothetical case studies.
FULL CASE STUDIES
Read the full implementation deep-dives
Step-by-step breakdowns of real FACTA engagements — the problem, the architecture, and the measurable results.
Document Processing — 85% Time Reduction
How a financial services team automated document processing with AI — 85% time reduction and 99.2% accuracy.
Read case study →Compliance Monitoring — Real-Time Risk Detection
An AI-powered compliance monitoring system that detects policy violations in real time with 94% accuracy.
Read case study →
PATTERNS
What these projects have in common
Patterns we see in every successful system
Engineered systems win. Improvisation doesn’t scale.
EXPECTATIONS
Setting expectations
These are full production systems—not MVP automations. Early-stage workflows can be scoped much smaller.
Regulated workflows
Time to Production
~14 weeks
Typical Investment
~$85k
Core Outcome
Risk + cost reduction
Real-time AI systems
Time to Production
~12 weeks
Typical Investment
~$75k
Core Outcome
Scale without fragility
Full production systems—not MVP automations. Early-stage workflows can be scoped much smaller.
WHO THIS IS FOR
Who this is for
If you’re serious about production AI—and you want to own what’s built—this is designed for you.
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