How We Engage

Four models.
One engineering standard.

7 AI systems (6 SDLC systems + OVERSEER governance) are included in every engagement, along with the ARC framework. Choose the model that fits your situation.

Pricing reflects outcomes and governed execution, not hours.

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.

Scoped to your requirements
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.

Scoped to your requirements
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.

Scoped to your requirements
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.

Scoped to your requirements
Start an assessment →
What's included

Included in every engagement.

7 AI systems (6 SDLC systems + OVERSEER governance) are included in every engagement. 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 → View Working Demo
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

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
Something else
My situation doesn't fit these categories

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

Start a Conversation →
ALIGN