DeepStack Software

Why We Exist

DeepStack exists because building great software still matters. Not just fast — but built with depth, care, and sound engineering judgment.

We started this company to turn ideas into reality — not as a slogan, but as a craft. Because in a world full of rushed projects, vague specs, and outsourced chaos, we wanted to prove that a small, principled team can deliver better results by thinking deeply, moving intentionally, and staying personally invested in what we build.

We don’t chase growth. We don’t chase hype. We work on meaningful problems, with people we respect, using tools we understand. That’s what keeps the quality high — and why our clients keep coming back.

Who We Are

If you're a founder with a big vision — and no time to micromanage another engineering team — we get it. You want to stay close to the product and architecture, but still need a team you can trust to think clearly, execute deeply, and move fast.

We started DeepStack to be exactly that. A small, strong team that works alongside you — with low friction, high trust, and a shared commitment to building the right thing, the right way.

We partner with early-stage startups to deliver complex AI and blockchain products — end to end. From backend systems to DevOps, we build, scale, and ship without the overhead of assembling an in-house team.

What We Do

We embed directly into your team — owning the architecture, development, and delivery of production-grade systems.

Engineering & Product Delivery

• Full-stack development with a backend-heavy focus
• Infrastructure & DevOps: CI/CD, automation, monitoring
• Custom internal tools and monitoring dashboards
• Support for both greenfield and existing codebases

Blockchain Development

• L1 and L2 development using Cosmos SDK, CometBFT, and EVM
• Protocol architecture and mechanism design
• Extensive experience launching new Cosmos SDK chains — from testnet to mainnet
• Provide ongoing support, upgrades, and tooling for live networks
• Not focused on dApps — we specialize in core infrastructure

AI Integration & Agents

• LLM-powered features and AI agent integration
• Custom infrastructure for AI-driven products (not model training)

Architecture & Implementation

• Collaborative technical planning, architecture design, and trade-off analysis
• Clear, practical architecture diagrams and design documentation
• Hands-on implementation of scalable, production-ready systems

Testing & Delivery Stability

• Comprehensive QA and bug resolution during build and launch
• Clients often stay with us for years — because we deliver and adapt as they grow
• Seamless handoffs and onboarding when internal teams expand

Collaboration & Process

• Slack, GitHub, and Notion-native workflows
• Join standups, sprint planning, and async collaboration
• We’re not vendors — we operate as your engineering team

Who We Work With

We work with early-stage startups — typically led by repeat founders, ex-Big Tech professionals, or domain experts — building ambitious products in AI or blockchain. Most of our clients come to us pre-MVP or post-prototype, with clear product goals but a need for reliable, long-term engineering support.

You’re a good fit if:

• You’re a founder or small team with technical or product expertise
• You have traction or clear direction, but need help executing fast and well
• You want a long-term engineering partner — not short-term freelancers
• You value high-trust, low-management collaboration
• You iterate weekly and prioritize pragmatic architecture over pixel-perfect specs

Typical Clients

• VC-backed or bootstrapped — with strong conviction and 3+ month commitment
• Pre-revenue or post-revenue, refining product–market fit
• Building deep tech: infrastructure, AI systems, blockchain networks
• Often already have some engineering in place — we plug in and scale it
• Sometimes rebuilding or rescuing codebases that need to ship

Why Us

• Proven track record of delivering complex, end-to-end systems
• Deep expertise in AI, LLMs, and blockchain infrastructure
• Flexible, embedded team model that integrates into your workflow
• Open to learning new technologies as needed — fast and hands-on
• We often share ramp-up costs — because we think long-term
• India-based team working exclusively with US startups