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For leaders who need durable AI, not demos

      

KYFEX builds production AI systems for organizations that need shipped code, deployed infrastructure, and operating ownership - not demos or slide decks.

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

Records Processed

95%+

Production ML Accuracy

18+

Years of Experience

Built under pressure. Measured in production.

Real builds. Verified metrics. Full context.

Government

Vision Model + LiDAR

Featured build

180+ asset types detected at 95%+ accuracy

Measured over 35-week production deployment

See build details

Challenge

Manual inspection of city infrastructure at scale

Measured against

Measured over 35-week production deployment

Gaming

1B+ records unified with 99.4% financial accuracy

Data Platform

Fragmented data across 12 sources, no unified view

Measured across 12 integrated data sources

See build details

Healthcare

40%+ reduction in documentation time

LLM Integration

Clinicians drowning in documentation

Measured against pre-deployment clinical workflow

See build details

HR Tech

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

ML + Full-Stack

Manual, biased technical hiring process

Measured over 70-month production engagement

See build details
18+

Years of Experience

739B+

Records Processed

30+

Engineers Led

4hr

Response SLA

Why serious teams hire KYFEX

The proof is in what survives launch.

AI buyers do not need another demo. They need a team that can absorb ambiguity, ship inside real constraints, and leave behind systems their own engineers can operate.

Beyond the prototype

Every build is scoped around production release criteria: tests, observability, rollback paths, ownership, and user-facing reliability.

Regulated and procurement-heavy work

Government, healthcare, civic infrastructure, and compliance programs are treated as normal operating contexts, not special cases.

Messy data and legacy systems

We expect fragmented data, inherited platforms, vendor constraints, and migration risk. The work starts with facts, not assumptions.

Operable after handoff

Runbooks, monitoring, documentation, and team transfer are part of delivery, so the system can keep improving after KYFEX steps back.

We operate our own proof surface

The KYFEX site itself runs with live status, protected workflows, E2E checks, public insights, RSS, localization, and monitored serverless infrastructure.

Three Engagement Shapes

For leaders who need durable AI, not demos

Fractional CTO / CAIO

Senior technical leadership without the ceremonial overhead

Embedded executive-level guidance for teams that need sharper architecture, clearer sequencing, stronger hiring judgment, and accountable AI delivery.

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AI Product Engineering

From concept pressure to production discipline

End-to-end AI product delivery across application architecture, models, interfaces, deployment, monitoring, and operational hardening.

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Engineering Teams

Embedded delivery teams with real ownership

High-trust engineers integrated into your product and delivery rhythm, with the expectation that they solve problems, remove drag, and ship meaningful work.

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Data Platform Engineering

A governed data layer that executives can actually rely on

Production data platforms spanning ingestion, modeling, orchestration, observability, and executive reporting without the usual warehouse chaos.

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See Us in Action

From Architecture to Production

A concise view of how KYFEX moves from system framing to production delivery without handing the work off to another team.

Operating models

Match the Operating Model to the Delivery Risk

The difference is not whether work ships. It is how much decision authority, delivery capacity, and pace the situation requires.

Not sure which model fits?

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What We Shipped

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
Mobile Gaming Company

Gaming Analytics Platform

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

1B+ records34 pipelines19 dashboards
Read Case Study
Telehealth Platform

Healthcare AI - Medical Scribe

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

40%+ time reductionReal-time notesEHR integration
Read Case Study
SaaS Client

App Review Intelligence

NLP-powered review analysis with predictive analytics across 10 languages

27 CDK stacks10-language i18nNLP analysis
Read Case Study
HR Tech Client

AI-Driven Recruiting Marketplace

End-to-end recruiting platform with live coding, video screening, and AI bias detection

17,800+ testsML matchingAI bias detection
Read Case Study
Email Marketing Client

High-Throughput Email Verification

Custom Rust SMTP engine with sub-second verification processing millions of emails

82 Lambda functionsRust SMTP engineSub-second speed
Read Case Study
View All Case Studies

Industries We Serve

Gaming

Player analytics & monetization platforms

1B+ records
Healthcare

Clinical AI & documentation systems

40%+ time saved
Government

Infrastructure detection & compliance

197 asset types
EdTech

Learning platforms & assessment tools

Production deployed
SaaS

Product engineering & data platforms

Enterprise scale

Frequently Asked Questions

KYFEX is an AI systems builder firm that ships production-grade AI systems, not prototypes. We operate as fractional CTOs/CAIOs, embedded AI product engineering teams, and AI-ready data platform specialists for organizations that need shipped code, deployed infrastructure, and operating ownership. Founded in 2023 in San Francisco by Ankit Rakha (18+ years of engineering leadership across gaming, healthcare, government, and HR tech).
Consultants deliver reports and decks. KYFEX delivers shipped code, deployed infrastructure, and operating runbooks. Engagements end with production releases, not slide presentations. Every case study lists concrete outcomes (records processed, accuracy gains, time saved, tests written) rather than recommendations. We treat "ships in production and holds up" as the bar, not the bonus.
It means the system is live, monitored, and serving real users when we leave, with documentation, runbooks, and your team trained to operate it. Concretely: it sits behind a status page, has tests and alerting, and has a named owner. Shipped examples across founder-led and KYFEX production work include systems processing 739B+ records, 99.4% financial accuracy, 17,800+ tests, and 40%+ time reduction on regulated workflows. See /work for measured outcomes.
Series A through enterprise, plus government agencies and regulated industries (healthcare, civic infrastructure, gaming platforms, edtech, SaaS). Common patterns: a non-AI-native team that needs production AI shipped fast; an in-flight AI pilot that needs to survive contact with real users; a data platform that needs to become AI-ready without a full re-architecture. We work with both VC-backed startups and procurement-driven public-sector buyers.
Most engagements start within 1–2 weeks of a signed agreement. Discovery calls are scheduled directly via /contact (45-minute Zoom, no sales pitch) and a written scope typically follows within 3–5 business days. There is no sales pipeline. If KYFEX is not the right fit, we say so on the call.
Headquartered in San Francisco and operates remote-first with clients across the US, EU, and APAC. We hold core overlap hours in your timezone, mirror your team's collaboration stack (Slack, Linear, Jira, etc.), and embed as operators, attending standups, reviewing PRs, and shipping in your repositories. Site content is published in English, Spanish, French, German, and Japanese.

A focused conversation about the problem, what the system actually needs, and where the delivery risk sits.

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

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