How We Engage

Four models.
One engineering standard.

Every engagement includes our AI-augmented SDLC, six named AI systems, and ARC governance. Choose the model that fits your situation.

Engagement Models

Cross-Functional Pods

Embedded engineering teams

A dedicated pod — frontend, backend, QA, DevOps — embedded in your product workflow. Operates on your stack, your repos, your rituals. AI-augmented from Day 1. Scales up or down monthly.

Starting at
$15K/month
Discuss your pod structure →
Product Engineering

Milestone-based delivery

We own delivery of a defined scope — MVP, feature set, platform module — with clear milestones, acceptance criteria, and engineering metrics. Fixed-price phases. ARCHITECT plans the technical approach before any code ships.

Starting at
$25K per phase
Scope a milestone →
AI-Native GCC Design

Build your offshore center

We design, staff, and operationalize your Global Capability Center in India — with AI-augmented engineering built in from day one. Includes hiring, infrastructure, governance, and ongoing operational support.

Starting at
$50K design + $20K/month ops
Plan your GCC →
Legacy Code Migration

Modernize without rewrites

Systematic migration from legacy stacks to modern architectures. AI-assisted code analysis, automated test generation, phased execution with rollback safety. We keep your system running while we modernize it.

Starting at
$10K assessment + phased execution
Start an assessment →
What's included

Included in every engagement.

Six AI systems govern every line of code we ship. They run on our Engineering OS — the same infrastructure we use to build digri.ai and Veril.ai.

ARCHITECT

Structures system design, API schemas, and tradeoff analysis before any code is written.

FOUNDRY

AI-assisted coding, pattern reuse, and controlled refactoring at engineer direction.

SENTINEL

Pre-reviews pull requests for security, performance, and standards compliance.

SHIELD

Generates baseline test coverage — unit, integration, regression — from code changes.

CHRONICLE

Auto-generates and maintains technical documentation as code ships.

GUARDIAN

Prepares deployment with risk assessment, staging verification, and rollback plans.

See the full Engineering OS →
Find your fit

Not sure which model? Try the ALIGN diagnostic.

Answer three questions. We'll recommend the engagement model that fits your situation.

ALIGN
Engagement self-assessment · 3 steps
Step 01 — Define the situation
What brings you here?
Select the scenario closest to your current engineering challenge.
Existing system needs modernization
Legacy codebase, technical debt, aging stack
→
Scaling delivery without hiring
Backlog growing, velocity stalled, team stretched
→
Integrating AI into current platform
Add AI capabilities without destabilising production
→
Stabilising velocity and absorbing backlog
Predictable execution, clear delivery cadence
→
Building or scaling a GCC
Offshore engineering center with AI-native operations
→

Every engagement starts with a conversation. No pitch decks. No account managers. Engineer to engineer.

Start a Conversation →