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For leaders who need durable AI, not demos

      

KYFEX ships production AI systems with deployed infrastructure, measured outcomes, and clear operating ownership.

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Review Selected Work
SOC 2 Aware, GDPR Compliant4-Hour Response SLA
739B+

Records Processed

95%+

Production ML Accuracy

18+

Years of Experience

Evidence from shipped systems.

Real builds. Verified metrics. Full context.

Government

Vision Model + LiDAR

Featured build

180+ asset types detected at 95%+ accuracy

Validated during a 35-week deployment

Build details

Challenge

Manual inspection of city infrastructure at scale

Gaming

1B+ records unified with 99.4% financial accuracy

Data Platform

Fragmented data across 12 sources, no unified view

Reconciled across 12 integrated data sources

Build details

Healthcare

40%+ reduction in documentation time

LLM Integration

Clinicians drowning in documentation

Compared with pre-deployment clinical workflow

Build details

HR Tech

17,800+ tests, ML matching, AI bias detection

ML + Full-Stack

Manual, biased technical hiring process

Tracked across a 70-month engagement

Build details

Why serious teams hire KYFEX

Delivery standards, clearly set.

The work is framed around what must be true before handoff: reliability, accountability, and team ownership.

Release criteria first

Tests, observability, rollback paths, and named owners are set before the work is treated as done.

Messy data and legacy systems

Fragmented data, inherited platforms, vendor constraints, and migration risk are mapped before architecture is chosen.

Operable after handoff

Runbooks, monitoring, documentation, and team transfer are scoped as part of the work.

See Us in Action

From Architecture to Production

A concise view of how KYFEX frames systems, makes tradeoffs, and carries engineering work through the last mile.

Operating models

Match the Operating Model to the Delivery Risk

Choose the shape based on authority, delivery capacity, and pace, not a generic services menu.

  1. 01
    Ongoing

    Fractional CTO / CAIO

    Growth-stage and mid-market companies that need technical leadership without a full-time hire

    Model details
  2. 02
    8-16 weeks

    AI Product Engineering

    Teams with a validated idea that need to ship an AI-powered product fast

    Model details
  3. 03
    3-12 months

    Engineering Teams

    Companies scaling fast that need delivery-focused engineers embedded in their workflow

    Model details
  4. 04
    10-20 weeks

    Data Platform

    Organizations drowning in data silos that need a unified, governed data layer

    Model details

What We Shipped

01
Municipal Government

Civic Infrastructure AI

Multi-pipeline AI platform: 197 asset types detected, 86K trees assessed, 99%+ crash extraction accuracy, 6,400+ automated tests

197 asset types86K trees assessed99%+ extraction accuracy
Read Case Study
02
Mobile Gaming Company

Gaming Analytics Platform

Medallion architecture processing 1B+ records across 12 sources with 99.4% financial accuracy

1B+ records34 pipelines
Read Case Study
03
Telehealth Platform

Healthcare AI - Medical Scribe

40%+ reduction in documentation time with AI-driven medical scribe

40%+ time reductionReal-time notes
Read Case Study
01Municipal Government
02Mobile Gaming Company
03Telehealth Platform
View All Case Studies

Frequently Asked Questions

KYFEX is accountable for technical decisions and implementation, not report writing. Engagements include code, infrastructure, runbooks, monitoring, and transfer when those are needed for the scoped outcome.
Most engagements start within 1–2 weeks of a signed agreement. Discovery is a direct 45-minute working call, and a written scope usually follows within 3–5 business days. If the fit or risk profile is off, we say so before scoping.
KYFEX is headquartered in San Francisco and operates remote-first across US, EU, and APAC clients. We keep core overlap hours, use your collaboration stack, and work inside your repositories and delivery rituals.

A focused conversation about fit, scope, constraints, and the first evidence we would need to see.

Book a Working Session

We respond quickly and keep the process concise, direct, and technically serious.

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