Production-grade engineering for SaaS, data, and agentic AI.

We design and build scalable platforms, analytics systems, and AI workflows that reduce manual work and ship reliably.

Response within 24 hours · NDA available

Recognized by

Google for Startups
Google for Startups
Nvidia Inception
Nvidia Inception
Startup India
Startup India
React
PostgreSQL
AWS
Node.js
OpenAI
Next.js
Auth0
Flutter
React
PostgreSQL
AWS
Node.js
OpenAI
Next.js
Auth0
Flutter
React
PostgreSQL
AWS
Node.js
OpenAI
Next.js
Auth0
Flutter
React
PostgreSQL
AWS
Node.js
OpenAI
Next.js
Auth0
Flutter
TypeScript
IoT
Tailwind
Docker
Git
Security
DevOps
Redis
TypeScript
IoT
Tailwind
Docker
Git
Security
DevOps
Redis
TypeScript
IoT
Tailwind
Docker
Git
Security
DevOps
Redis
TypeScript
IoT
Tailwind
Docker
Git
Security
DevOps
Redis
Our Clients

Who we work with

We partner with technical buyers who understand that great software requires engineering discipline, not just speed.

SaaS Founders

Challenge

Scaling from MVP to production without technical debt

Outcome

Ship a reliable v1 with clean architecture, proper auth, and observability from day one.

Data Teams

Challenge

Dashboards nobody trusts, metrics that drift

Outcome

Get a semantic layer, clear metric definitions, and dashboards your leadership actually uses.

Ops & Automation Leaders

Challenge

Manual processes eating up team bandwidth

Outcome

Deploy AI workflows with proper guardrails that handle real edge cases, not just demos.

Enterprise Innovation Teams

Challenge

Legacy systems blocking modernization

Outcome

Modernize incrementally with clear migration paths, zero-downtime transitions, and full documentation.

Our Expertise

What we build

End-to-end engineering across five pillars. We don't just write code—we build systems that solve real business problems.

Data Analytics & Decision Systems

From raw data to decisions you can defend. We build semantic layers, metric definitions, and dashboards that leadership trusts.

Reliable data modelsClear KPI frameworksActionable dashboards
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Agentic AI Automation

Production-ready AI that actually works. RAG systems, multi-tool agents, copilots with proper guardrails and human-in-the-loop patterns.

RAG pipelinesMulti-step agentsEvaluation & guardrails
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SaaS Platform Development

From MVP to scalable product. Multi-tenant architecture, proper auth, payment integrations, and the infrastructure to support growth.

Multi-tenancyScalable architectureProduction-ready auth
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Full-Stack Engineering

Modern web and mobile applications built with clean architecture. React, Next.js, Node.js, Python—battle-tested stacks that scale.

Clean codebaseModern tech stackTest coverage
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Cloud, DevOps & Observability

Infrastructure as a first-class product. CI/CD, containerization, monitoring, and alerting that makes shipping safe.

Terraform IaCFull observabilityZero-downtime deploys
Learn more
Verified Results

What we've delivered

Real projects, real outcomes. No vanity metrics—just the problems we solved and the results we measured.

Retail / E-commerce

Real-Time Analytics Platform for E-commerce

Problem

Leadership couldn't trust dashboards. Metrics drifted between teams, and reports took 3+ days to generate.

Outcome

Single source of truth with real-time dashboards. Report generation reduced from 3 days to 15 minutes.

99%faster
Report Time
100%accuracy
Data Trust
Read case study
Legal Services

Document Processing Agent for Legal Firm

Problem

Lawyers spent 60% of time on document review. Manual extraction was error-prone and couldn't scale.

Outcome

AI agent with RAG pipeline processes 500+ documents daily with human-in-the-loop for edge cases.

500+docs/day
Processing
60%reduction
Time Saved
Read case study
HR Technology

Multi-Tenant SaaS Platform for HR Tech

Problem

MVP was breaking under load. No proper auth, logs, or monitoring. Team couldn't ship features safely.

Outcome

Rebuilt with clean multi-tenant architecture, role-based access, and full observability. Now serves 50+ companies.

50+companies
Tenants
99.9%SLA
Uptime
Read case study
Why Us

A core technical company,
not a sales shop

We're a small, engineering-first team. Your project is led by people who actually design systems, write code, and ship to production. No layers of account managers between you and the people doing the work.

Technical DNA

Founded by engineers with strong backgrounds in mathematics, computer science, and data science.

Selective Hiring

We work with developers and architects who have proven expertise in full-stack engineering, AI, data, and cloud.

Management by Experts

Project leads have real delivery experience—architecture, design decisions, and stakeholder management.

We take ownership, or extend your team

Product Ownership

We handle requirements, UX, architecture, dev, testing, and deployment.

One accountable owner.

Extended Team

We plug into your existing team as senior ICs or a dedicated pod.

Full visibility & control.

You decide the level of ownership.
We guarantee strong execution either way.

Our Process

How we work

Discovery → Blueprint → Build → Launch → Support. Clear phases, weekly visibility, no surprises.

1

Discovery

1-2 hours

Understand your goals, constraints, and current systems.

2

Blueprint

3–5 days

Architecture, team composition, timeline, and fixed quote.

3

Build

Ongoing sprints

Weekly demos, deployed environments, continuous progress.

4

Launch

1-2 weeks

Production rollout with monitoring and documentation.

5

Support

Optional

Bug fixes, feature additions, and ongoing optimization.

Weekly demos
See working software every week
PR reviews
Every change reviewed by peers
Automated tests
CI runs tests on every commit
Async updates
Daily progress in Slack/Teams

Engagement models

Different projects need different structures. Choose the model that matches your constraints and goals.

Fixed Scope

Clear deliverables, fixed budget, milestone-based payments.

When to choose

Best for defined MVPs, specific features, or bounded projects with clear requirements.

  • Detailed scope document
  • Fixed timeline
  • Milestone payments
  • Change request process
Discuss this model

Time & Material

Flexible scope, pay for actual hours, adapt as you learn.

When to choose

Best for exploratory work, R&D projects, or when requirements will evolve through discovery.

  • Weekly billing
  • Flexible scope
  • Continuous reprioritization
  • Transparent time tracking
Discuss this model

Dedicated Pod

Your own team, full integration, long-term partnership.

When to choose

Best for ongoing product development where you need consistent velocity and deep domain knowledge.

  • Dedicated engineers
  • Full team integration
  • Knowledge retention
  • Predictable capacity
Discuss this model

Not sure which model fits? Let's talk — we'll recommend based on your situation.

Ready to start?

Tell us what you're building

We'll respond within 24 hours with next steps. No sales pitch—just a clear conversation about whether we can help.

NDA available
Response in 24h
No obligation
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