Our architecture is becoming difficult to evolve.
PARTNER WITH INVARA LABS
Bring us an engineering problem worth solving.
If your organization is facing an important challenge around architecture, modernization, AI engineering, platform engineering, developer experience, or engineering excellence, we'd like to understand the problem.
We start with context before recommending technology or implementation.
Early partners work directly with the people building Invara Labs.BRING US THE PROBLEM
You don't need to arrive with the solution.
You may already know exactly what needs to change. Or you may simply know that something isn't working. Both are valid starting points.
We begin by understanding what is happening, why it matters, and what constraints shape a useful answer.
EXAMPLE PROBLEMS
Does any of this sound familiar?
These are representative starting points—not customer quotes or claims.
We need to modernize without rewriting everything.
Our releases are too risky.
Our engineering teams solve the same problems differently.
We want to introduce AI into development responsibly.
Our developers are using AI, but we have no engineering standard.
Our platform creates too much developer friction.
Our technical debt is affecting product delivery.
We need an independent engineering perspective.
We know something needs to change, but we don't know where to start.
PROBLEMS WE WORK ON
Engineering problems we can explore together.
Five connected solution areas, drawn from the same source used across the website.
Engineering Assessment
Understand the current engineering state before making major technical investments.
Explore Engineering Assessment →Architecture & Modernization
Evolve important software systems without introducing unnecessary complexity or unnecessary rewrites.
Explore Architecture & Modernization →AI Engineering
Introduce AI-assisted development and AI-enabled software capabilities responsibly.
Explore AI Engineering →Platform & Developer Experience
Reduce the friction surrounding software development so engineers can spend more time building valuable software.
Explore Platform & Developer Experience →Engineering Excellence
Turn good engineering practices into repeatable organizational capability.
Explore Engineering Excellence →WHO WE WORK BEST WITH
Best suited to organizations where engineering matters.
Organizations
- Product companies
- SaaS organizations
- Enterprise engineering teams
- Technical startups
- Organizations modernizing important systems
- Engineering teams adopting AI
- Organizations improving platform capability
- Teams establishing stronger engineering practices
Stakeholders
- Founder / Technical Founder
- CTO
- CIO
- VP Engineering
- Head of Engineering
- Engineering Director
- Chief Architect
- Principal Engineer
- Staff Engineer
- Platform Engineering Leader
- AI Engineering Leader
This describes who we want to work with, not a list of existing customers.
A GOOD CONVERSATION
Starts with a meaningful engineering problem.
- The technical problem has business impact
- Multiple options need evaluation
- Architecture decisions matter
- Modernization involves meaningful risk
- Engineering practices need consistency
- Teams need an independent technical perspective
- AI adoption requires engineering governance
- Reusable foundations could reduce repeated work
WHEN ANOTHER PARTNER MAY FIT BETTER
We won't fit every problem into Invara Labs.
If the need is purely one of the following, a specialist provider may be more useful:
- High-volume staff augmentation
- Recruiting developers
- Commodity website development
- Design-only branding work
- Basic IT support
- Infrastructure resale
- Purchasing software licences
- Predetermined implementation with no engineering discussion
START SMALL
Start with the smallest useful engagement.
A partnership does not need to begin with a large transformation program. The first useful step may simply be understanding the problem better.
Assess
Understand the current state and determine where attention matters most.
Useful when
- The problem is not yet fully understood
- Technical risk needs independent review
- Modernization priorities are unclear
- Architecture or AI engineering readiness needs evaluation
Potential activities
- Discovery conversations
- Architecture or codebase review where appropriate
- Engineering workflow and documentation review
- Technical risk and developer experience analysis
Potential outputs
- Findings and observations
- Risks and opportunities
- Prioritized recommendations
- Potential next steps
Design
Define a practical technical direction before major implementation begins.
Useful when
- The problem is understood
- Architecture or technical design needs definition
- Modernization needs a migration strategy
- Technology options need evaluation
Potential activities
- Requirements clarification
- Architecture and trade-off analysis
- Proof of concept
- Technical decisions and implementation planning
Potential outputs
- Architecture or ADRs
- Technical design
- Potential proof of concept
- Modernization or implementation strategy
Partner
Work alongside the engineering organization as the solution moves into implementation and adoption.
Useful when
- Implementation spans stages
- Technical leadership needs additional depth
- Engineering practices need to evolve
- Knowledge transfer is part of the outcome
Potential activities
- Implementation and architecture guidance
- Engineering standards and code review
- Testing or developer experience improvements
- Documentation and knowledge transfer
Potential outputs
- Working capability
- Implementation guidance
- Engineering documentation
- Stronger internal engineering knowledge
ENGAGEMENT FLOW
From first conversation to useful work.
These are useful stages, not mandatory process gates for every engagement.
Conversation
Understand why you're reaching out.
Discovery
Understand the engineering context.
Problem definition
Clarify what actually needs to change.
Options
Evaluate approaches and trade-offs.
Proposed engagement
Define the smallest useful scope.
Engineering
Assess, design, build, or partner.
Validate
Determine whether the work solved the intended problem.
Transfer knowledge
Leave the organization stronger.
THE FIRST CONVERSATION
Is about the problem.
- What are you trying to accomplish?
- What is happening today?
- Why does it matter now?
- What have you already tried?
- What constraints and systems are involved?
- Who owns the problem?
- What happens if nothing changes?
- What would a useful outcome look like?
You do not need a perfect requirements document, predetermined architecture, selected technology stack, or complete project plan.
WHAT TO BRING
Come with context, not a polished pitch.
- Problem description
- Current architecture
- Known constraints
- Current technology environment
- Business impact
- Technical risks
- Timeline pressures
- Previous attempts
- Stakeholders
- Expected outcomes
POTENTIAL DELIVERABLES
Useful engineering artifacts, not presentation for presentation's sake.
Outputs depend on the agreed problem and scope. Each engagement defines its own relevant deliverables.
- 01Engineering assessment
- 02Architecture recommendations
- 03Risk analysis
- 04Architecture diagrams
- 05Architecture Decision Records
- 06Technical designs
- 07Modernization strategy
- 08Proof of concept
- 09Reference implementation
- 10Engineering standards
- 11Testing strategy
- 12AI engineering guidance
- 13Platform roadmap
- 14Developer experience recommendations
- 15Implementation
- 16Documentation
- 17Knowledge transfer
HOW WE WORK
Engineering before prescription.
Problem first
Understand the problem before selecting technology.
Trade-offs visible
Important decisions should explain why.
Simple before complex
Use complexity only when the problem justifies it.
Build where useful
Architecture should eventually connect to working software.
Document important knowledge
Engineering knowledge should survive individual conversations.
Transfer knowledge
Customers should not become unnecessarily dependent on Invara Labs.
AI with accountability
Use AI where it improves engineering while maintaining human accountability.
FOUNDER-LED ENGAGEMENT
Work directly with the people building Invara Labs.
Invara Labs is currently founder-led. Early partners work close to the people responsible for engineering direction, the Engineering Operating System, reference architecture, and company strategy.
This keeps early engagements technically close to the problem without promising that founders personally execute every future engagement.
Madhukumar Rajanala
Building Invara Labs around reusable engineering systems and the recurring enterprise software problems those systems are meant to solve.
ENGINEERING OS ADVANTAGE
Backed by a reusable engineering foundation.
The Engineering Operating System provides a structured starting point without forcing every organization into an identical solution.
Explore Engineering Operating System- Principles
- Playbooks
- Standards
- References
- Governance and AI guidance
- Engineering OS
- Engineering engagement
- Customer context
- Architecture / technical decisions
- Implementation
- Learning
BUILD CAPABILITY, NOT DEPENDENCY
Leave stronger systems and clearer ownership.
Where reusable foundations are appropriate, we aim for clear boundaries, documented architecture, understandable ownership, extension points, and replaceable implementations where practical.
Technical choices can still create real dependencies; we do not promise zero dependency in every situation.
COMMERCIAL MODEL
Scope follows understanding.
Engagement structure depends on the problem, scope, duration, and level of involvement required. We do not publish invented packages or pricing before that context exists.
CONFIDENTIALITY & IP
Your engineering context stays your engineering context.
Client work may involve sensitive architecture, source code, infrastructure, product, business, security, and internal documentation.
Customer-specific information should not be published through Open Engineering without explicit authorization and appropriate agreements.
Define the boundaries before relevant work begins.
Intellectual property, licensing, confidentiality, and ownership should be defined clearly in the engagement agreement.
Generalized learning may inform our thinking only where legally, contractually, ethically, and technically appropriate. This website copy does not replace legal agreements.
WHY WORK WITH US AT THIS STAGE
Early creates a close engineering feedback loop.
Direct access
Work close to the people making engineering decisions.
Focus
We can be selective about the engineering problems we take on.
Feedback loop
Real problems inform how reusable engineering foundations evolve.
Transparency
Our engineering philosophy and public work can increasingly be inspected.
A GOOD EARLY PARTNERSHIP
The best early partnerships are collaborative.
This is guidance for a useful working relationship, not an application process.
- A meaningful engineering problem
- Access to relevant technical context
- Willingness to discuss constraints honestly
- Available engineering stakeholders
- Openness to evaluating trade-offs
- Realistic expectations
- Willingness to challenge our thinking
- Interest in building internal capability
FREQUENTLY ASKED QUESTIONS
Questions before the first conversation.
Do you only work with Angular?
No. Invara Labs is technology-independent where practical. Technology should follow the engineering problem and context.
Do you only work with AI projects?
No. AI Engineering is one part of a broader engineering direction.
Do you provide developers for staff augmentation?
Staff augmentation is not our primary positioning. We focus on engineering problems, architecture, technical direction, implementation, and capability improvement.
Can you work with our existing engineering team?
Yes, where the engagement requires it. Our intended model is collaborative rather than replacing internal engineering ownership.
Do we need to know exactly what we need?
No. An assessment or discovery engagement can help clarify the engineering problem and possible paths forward.
How much does an engagement cost?
Scope and commercial structure depend on the problem, duration, and required involvement. We first need enough context to determine what kind of engagement would be useful.
Will our code or architecture become public?
Customer-specific material should not be made public without explicit authorization and appropriate agreements. Website copy does not replace contractual confidentiality obligations.
START WITH THE ENGINEERING PROBLEM
Tell us what you're trying to solve.
Tell us what is making it difficult and why it matters. You don't need a complete specification.