DeepStack Software

Why We Exist

DeepStack exists because startups still need software that is thoughtfully built. Speed matters, but so do the architecture, trade-offs, and everyday details that keep a product reliable.

We started this company to help founders turn ambitious ideas into working products. We prefer small teams, clear thinking, and staying close to the work.

AI and agents are part of that work when they make sense. We build agentic systems when they improve a product or workflow, and we use AI in our own process where it helps. We do not treat it as a shortcut around good engineering.

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 shared ownership of the outcome.

We partner with early-stage startups to deliver product engineering end to end, from backend-heavy full-stack development to infrastructure, internal tools, agentic systems, and launch support. We help you build, scale, and ship before it makes sense to assemble a full in-house engineering team.

What We Do

We embed directly into your team and own the architecture, development, and delivery of production-grade software.

Product Engineering & Delivery

• Full-stack product development with a backend-heavy focus
• Application architecture, API design, data models, business logic, and core workflows
• Hands-on implementation of scalable, production-ready systems
• Comprehensive QA and bug resolution during build and launch
• Support for both greenfield products and existing codebases

Agentic Engineering

• Production AI agents that can plan, use tools, call APIs, and complete real workflows
• Agentic product features for SaaS, internal tools, data products, and developer platforms
• LLM orchestration, retrieval, evaluations, guardrails, permissions, and human-in-the-loop review
• Workflow automation that combines model reasoning with deterministic code, monitoring, and auditability

Backend, Infrastructure & DevOps

• Scalable backend services, integrations, queues, workers, and data pipelines
• Infrastructure & DevOps: CI/CD, automation, deployment, and monitoring
• Cloud architecture, observability, performance work, and production operations
• Practical systems that your team can maintain after handoff

Blockchain Infrastructure Experience

• Specialized blockchain experience with Cosmos SDK, Ethereum, and EVM-compatible chains
• Protocol-level systems, indexing, interoperability, peer-to-peer networks, and state channels
• Multiple Cosmos SDK chain launches from testnet to mainnet
• Useful when a startup needs deep blockchain infrastructure judgment inside a broader product build

Collaboration & Process

• Collaborative technical planning, architecture design, and trade-off analysis
• Clear, practical architecture diagrams and design documentation
• Slack, GitHub, and Notion-native workflows
• Join standups, sprint planning, and async collaboration
• Use AI agents in our own planning, coding, testing, and operations where they improve delivery
• Seamless handoffs and onboarding when internal teams expand
• 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 and deep technical systems. Most 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 turning product ideas into shipped systems
• 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 a 3+ month commitment
• Pre-revenue or post-revenue, refining product-market fit
• Building SaaS products, internal platforms, automation, agentic workflows, or deep infrastructure
• Often already have some engineering in place, and we plug in and scale it
• Sometimes rebuilding or rescuing codebases that need to ship

Why Us

• Proven track record of delivering complex products end to end
• Clients often stay with us for years because we deliver and adapt as they grow
• Strong backend, infrastructure, architecture, and production delivery experience
• Agentic engineering capability grounded in real product workflows, not surface-level demos
• Flexible, embedded team model that integrates into your workflow
• Open to learning new technologies as needed, with a fast, hands-on approach grounded in fundamentals
• We often share ramp-up costs because we think long-term
• Deep experience working with US startup teams