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// AI Infrastructure for Engineering Teams

Deploy AI.
Master it.
Stay sharp.

Kestal is an AI orchestration framework that fits your stack — local GPU, cloud provider, or hybrid — and keeps your engineers genuinely competent while the technology evolves under them.

Not a service. Not a subscription to someone else's dashboard. Your infrastructure. Your team. Your control.

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AI Orchestration /// Multi-Provider Routing /// Local GPU Support /// Skill Retention /// Team Analytics /// Config as Code /// Agent Framework /// Cost Control /// AI Orchestration /// Multi-Provider Routing /// Local GPU Support /// Skill Retention /// Team Analytics /// Config as Code /// Agent Framework /// Cost Control ///

// 01 — The Problem

YOUR TEAM
IS FLYING
BLIND.
01

No orchestration layer

Engineers use AI tools ad-hoc — ChatGPT here, Cursor there, no routing, no fallback, no cost visibility. It works until it doesn't.

02

Skills are eroding

When every answer comes from a model, pattern recognition atrophies quietly. Your senior engineers become expensive prompt validators.

03

Zero visibility for CTOs

AI usage in your org is a black box. You can't see costs by team, flag risky prompts, or justify the budget to the board.

04

Vendor lock-in creep

Every tool you adopt adds another dependency you don't control. One API change and your entire workflow breaks.

// 02 — The Stack

THREE LAYERS.
ONE SYSTEM.

Kestal ships as a deployable framework — not a SaaS. Once it's in, it's yours. We don't hold your data, your prompts, or your engineers hostage.

// MODULE_01

Forge Core

The orchestration runtime. Routes requests across providers — Anthropic, OpenAI, Mistral, Ollama on your own GPUs — with fallback, cost tracking, and hooks. Everything is config-as-code. Fully versionable. No black boxes.

Multi-provider Local GPU Plugin API Cost limits

// MODULE_02

SkillGuard

Watches how your team actually uses AI, then generates calibrated exercises targeting the exact skills at risk of atrophy. Not generic tutorials — drills built from your real codebase and real usage patterns.

Usage analysis Spaced repetition Custom exercises SM-2 algorithm

// MODULE_03

Command

The CTO dashboard. Real-time visibility across adoption, costs, team skill scores, and risk signals. A single screen that tells you whether your AI investment is working — or burning money.

Cost by team Skill metrics Risk alerts ROI tracking

// 03 — How It Works

DEPLOYED IN FOUR STEPS.

01

Audit

We map your current stack — models in use, usage patterns, cost exposure, and skill gaps. One week, no disruption.

02

Deploy

Kestal drops into your infra. Cloud, on-premise, or hybrid. Your config, your providers, your rules.

03

Calibrate

SkillGuard runs its first usage analysis. First exercises land within 48 hours. Command goes live for the CTO.

04

Operate

You own it. Updates ship quarterly. Optional maintenance contract if you want our eyes on the system.

AI should make your team
stronger, not dependent.

Every other tool optimizes for engagement — more prompts, more usage, more lock-in. We optimize for the opposite: an engineering team that understands what the AI is doing, can override it when it's wrong, and gets sharper every week it runs.

// Early Access — Limited Spots

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EARLY.


// First 50 teams get founding pricing. No credit card required.

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