CKTEK.ai

// about

We build what comes after SaaS.

CKTEK is an engineering firm for the post-foundation-model era. We believe the next decade of software, security, and systems will be shipped by hybrid teams — senior engineers paired with purpose-built AI agents, operating under rigorous evaluation and governance.

// our thesis

Software was never going to stay the same.

Foundation models changed the economics of engineering overnight. Code that took a quarter now takes a week. Security coverage that required a team now runs continuously. Infrastructure that needed humans in the loop now self-heals before anyone pages.

CKTEK was founded on a straightforward observation: most firms are bolting AI onto workflows that were designed before AI existed. We're building the firm that would exist if software engineering were being invented today — one where agents are first-class teammates, where evaluation is as rigorous as testing, and where every output has provenance.

We deliver three things: fully-built systems inside 90-day pods, platform installs you can run in your own environment, and managed operations where our hybrid teams run production under your SLAs. Our clients ship 10× faster, with 80% fewer defects, under full audit — because the AI isn't speculative, it's load-bearing.

// by the numbers

Founded
2024
Delivery
10×
Defect ↓
80%
Models supported
All major

// operating principles

The rules we don't break.

01

Ship outcomes

We're measured on what reaches production, not what's demoed. Every engagement has a measurable success metric and a hard date.

02

Prove safety

Agents operate under guardrails, with reasoning traces, provenance, and reversibility built in. We'd rather miss a prompt than ship an unsafe one.

03

Measure everything

Model performance, pipeline latency, code quality, security posture — all telemetered, all dashboarded, all auditable.

04

Humans direct

Agents accelerate; humans decide. Every irreversible or high-stakes action goes through a named operator with override authority.

// clients

Who we work with.

We're selective about engagements because we only take on work where AI materially moves the outcome. Our clients are organizations where speed, security, or complexity has become the bottleneck.

  • › Federal agencies modernizing legacy systems
  • › Enterprises deploying production-grade AI/LLM systems
  • › Security teams facing AI-powered adversaries
  • › Scale-ups whose engineering velocity has stalled
  • › Research groups shipping ML into regulated environments
// sectors
  • • Defense & intelligence
  • • Federal civilian
  • • Healthcare
  • • Finance
  • • Energy & utilities
// environments
  • • AWS GovCloud
  • • Azure Government
  • • On-prem / air-gapped
  • • Edge & tactical
  • • Multi-region

Ready to see what AI-native engineering looks like?

Thirty-minute intro, no decks. If there's a fit, we'll scope a 90-day engagement with a measurable outcome.