EnGenAI

We Harnessed AI
By The Horns

So you don't have to wrangle it yourself. Here's the technology behind the machine that builds machines.

Meet Your AI Team

Five specialized agents that communicate, collaborate, and build together. Each with their own identity, skills, and behavioral constraints.

K

Keith

Chief Product Officer

  • Product strategy & specs
  • Task decomposition & delegation
  • Cross-agent coordination
P

PROMI

Master Orchestrator

  • Pipeline orchestration
  • Change detection & sync
  • Circuit breaker management
S

Sophi

Backend Engineer

  • FastAPI & PostgreSQL
  • Service architecture
  • Database migrations & testing
M

Marv

Frontend Engineer

  • Next.js & React Flow
  • UI components & canvas
  • Responsive design systems
S

Sage

Knowledge Keeper

  • Documentation & guides
  • Architecture decision records
  • Knowledge graph management

Three-Layer Behavioral Steering

The only platform with multi-layer behavioral steering: a Steering Floor for org-wide inviolable policies, plus structural, prompt, and behavioral parameter layers. XML-structured templates in Layer 2 reduce prompt token usage by 15–30%.

STRUCTURAL PROMPT ACTIVATION AGENT BEHAVIOR
Structural

Identity files, role constraints, team hierarchy

Prompt

Task context, phase awareness, skill templates

Activation

Runtime triggers, circuit breakers, escalation

Structured Execution, Not Random Prompting

Every task follows the PREVC protocol — five phases with verification gates. Agents don't just generate. They prepare, research, execute, verify, and commit.

P
Prepare
Gather context & constraints
R
Research
Explore codebase & docs
E
Execute
Implement the solution
V
Verify
Test & validate output
C
Commit
Ship with evidence
Other AI Tools

"Here's some code, good luck"

EnGenAI

Structured phases with verification gates

Fine-Tune Every Agent's Model

Assign the right model to the right agent. Use premium models for architecture decisions, efficient models for documentation. Full control over performance and cost.

Agent Model Configuration
per agent
K
Keith
Architecture
Claude Opus 4.6
fallback: GPT-4o
S
Sophi
Backend
Claude Opus 4.6
fallback: Claude Sonnet
M
Marv
Frontend
Claude Sonnet 4.6
fallback: GPT-4o mini
S
Sage
Docs
Gemini 2.5 Pro
fallback: Claude Haiku
Cost Priority Quality Priority
Per-Agent Control

Assign primary + fallback models to each agent based on their role

Cost Optimization

Use premium models for critical tasks, efficient models for routine work

Intelligent LLM Routing

Best model for each task, automatically. Four routing strategies with health monitoring, automatic fallback chains, and real-time rate limiting.

Request from agent Provider Router strategy + fallback Anthropic OpenAI Google Response best result
Priority

Preferred provider first

Price

Lowest cost per token

Quality

Best model capability

Latency

Fastest response time

Vetted Capabilities, Not Blind Plugins

Every skill goes through a five-stage vetting pipeline before it can be used. Parsed, audited, sandboxed, approved by a human, then published to ClawHub.

Parse
Analyze skill manifest
Vet
Security & capability audit
Sandbox
Isolated execution test
Approve
Human sign-off
Install
Live in ClawHub
ClawHub Marketplace

Every skill is vetted, sandboxed, and version-controlled. No blind plugin installs. No supply chain risk.

See Every Decision As It Happens

A real-time collaborative canvas powered by React Flow and real-time sync. Watch agents communicate, assign tasks, and build — all in real-time.

Agent Task Keith → Sophi Code Generation FastAPI endpoint Review & Test Running tests... UI Component Marv rendering Deploy GKE sandbox LIVE

Your Agents Remember Everything

Three-tier memory plus Observational Memory — long conversations are automatically compressed into structured observations by the background Observer service. Nothing gets lost between sessions. Knowledge compounds.

Working Memory

Active conversation context, current task state

Redis ~1ms

Vector Memory

Semantic search across project knowledge

Milvus ~50ms

Durable Memory

Persistent project state, decision history, audit trail

PostgreSQL ~20ms

Research Once, Reuse Forever

Cache-Augmented Generation before Retrieval-Augmented Generation. Previous research is cached and reusable across all your projects.

Query from agent CAG Cache instant hit TRY FIRST miss Vector semantic search Inject into context Research reusable across all projects in your organization
Cache-Augmented

Previous research cached — instant reuse without re-processing

Cross-Project

Knowledge persists across projects — research once, benefit forever

Instant Deployment to Real Infrastructure

No mocking. No simulation. Code is deployed to real GKE sandbox environments for instant, production-grade testing and feedback.

Code
agent writes
GKE Sandbox
real K8s cluster
Live Test
instant deploy
Results
real feedback

No mocking. No simulation. Your code runs on real Kubernetes infrastructure — agents get instant, production-grade feedback.

Agents Cannot Merge. Only You Can.

Human-in-the-loop by design. Agents write code on branches, create pull requests, and run tests — but only you can approve and merge to production.

Agent
writes code
Branch
isolated
Pull Request
tested & reviewed
YOU
approve & merge
Deploy
production
MFA + SSO Row-Level Security Full Audit Trail API Key Encryption

Built on Battle-Tested Technology

The same technology stack used by Stripe, Netflix, and Airbnb. Enterprise-grade infrastructure from day one.

Frontend

N
Next.js 14
R
React 18
RF
React Flow
T
Tailwind

Backend

F
FastAPI
P
Python 3.12
C
Task Queue
S
Real-Time Sync

Data

PG
PostgreSQL
Re
Redis
M
Milvus
MG
Memgraph

Infrastructure

K
Kubernetes
G
GCP
A
ArgoCD
Tr
Traefik

Agents Built for Your Organisation

Beyond the five core AI team members, configure bespoke designer agents for any domain-specific job. Start from one of four pre-built Business Process Templates (IDP, Requirements Analysis, Predictive Analytics, Dev Request Handler) or build from scratch with 9 configuration knobs. MCP Server Registry connects external tools to any agent.

Examples
  • Requirements gathering specialist
  • Legal contract reviewer
  • Data visualisation consultant
  • Compliance auditor
  • Domain expert in your industry
9 Configuration Knobs
  • Identity — who the agent is
  • LLM — which model powers it
  • Steering — behavioural constraints
  • Tools — what it can call
  • Autonomy — how independently it acts
  • Connectors, Knowledge, Interface, Handoff
How It Works
  • Describe what you need to Keith
  • Keith configures all 9 knobs via API
  • Your agent is live immediately
  • Gets smarter with every session
  • Decommission when no longer needed

The same platform intelligence that powers Keith, Sophi, and Marv is available to any agent you configure. Same memory. Same steering. Same human-in-the-loop controls.

Transparent Usage-Based Billing

Pre-paid credits with hard stop at $0. Per-model token metering. Itemized invoices. Auto top-up with safety limits. No surprise bills, ever.

Pricing
  • Starter, Pro, and Enterprise tiers
  • Pricing coming soon
  • Enterprise: contact sales
  • Annual billing available
Metering
  • Per-model, per-project, per-user
  • Real-time credit balance
  • Auto top-up (max 3/day safety)
  • BYO API keys (Pro/Enterprise)
Invoicing
  • Stripe-powered invoicing
  • Per-model line items
  • Tax-compliant (Stripe Tax)
  • PDF download available

AI Agents That Know When to Ask for Help

Human agents are first-class citizens in EnGenAI. Seamless AI-to-human escalation with SLA enforcement, context preservation, and automatic resume.

Uniform Interface
  • Humans registered as agents
  • Same API, same routing
  • Role-based matching (BA, legal)
SLA Enforcement
  • Configurable SLA windows
  • Reminders at 75% elapsed
  • Breach escalation to manager
Suspend-Resume
  • AI pauses cleanly on escalation
  • Full context preserved in Redis
  • AI resumes from exact point

Code With Your AI Team, Anywhere

PREVIEW

VS Code extension, MCP Server Registry, and an OpenAI-compatible API — use your EnGenAI agents directly from your favourite IDE and tools. More integrations coming soon.

VS Code Extension
  • Agent chat panel in sidebar
  • PKCE-secured authentication
  • Project sync and code actions
MCP Server Registry
  • Register external MCP servers
  • Test connectivity and bind tools
  • Any agent can use external tools
OpenAI-Compatible API
  • Drop-in /v1/chat/completions
  • Personal access tokens
  • Works with any OpenAI client

Ready to Meet Your Team?

We're onboarding select B2B teams for early access. Tell us about your company and we'll be in touch.

Register for Early Access →