Available · Q2 2026 intake

Engineering studio
for hard technical
problems

We specialize in AI agents and blockchain systems, but take on any project where the engineering has to actually work in production, not just demo well. If the problem is hard, we're listening.

Experience
Decade of shipping
Core practice
Agentic AI · Web3
Team
Senior engineers only
Engagement
4 to 20 week sprints
02 Practice

Deep in two domains. Open to the third.

Our core practice is where most teams are underinvested: autonomous AI agents, production blockchain systems, and the complex ground between them. Beyond that, we take on any engineering challenge sophisticated enough to justify a senior team.

A
Core · AI Engineering

Autonomous agents that ship.

Multi-agent systems, RAG pipelines, fine-tuned models, and tool-using agents. Built to run in production with real observability and guardrails.

  • Multi-agent orchestration with Claude Agent SDK / LangGraph
  • Custom RAG + knowledge graph systems
  • Fine-tuning across OpenAI, Anthropic, open-source
  • MCP server development & tool integration
  • Evals, observability, production guardrails
B
Core · Blockchain Engineering

Contracts that hold up.

Tokens, smart contracts, dApps, and Web3 infrastructure. Designed for audit, deployed to mainnet, built to withstand real adversarial conditions.

  • Token engineering: ERC-20, 721, 1155, vesting, custom
  • Smart contracts with internal audit process
  • dApp frontends & wallet integration
  • On-chain indexing: The Graph, Ponder, custom
  • DeFi primitives & protocol engineering
+ EXTENDED PRACTICE

Advanced engineering, everything else.

If the work is technically ambitious, we're interested. Our senior engineers have shipped production systems across these domains, and take on projects here when the problem earns our attention.

AI × Blockchain Real-time systems Distributed architecture Data pipelines & MLOps Developer tools & SDKs High-performance backends Embedded & edge compute Complex integrations
03 Selection

What we take on.

We're selective about engagements. Not because we're picky, but because deep technical work needs focus. Here's how to tell if we're a fit before you reach out.

We're likely a fit if
  • Your project involves AI agents, blockchain, or both
  • The engineering is genuinely hard, not a CRUD app
  • You need production systems, not prototypes
  • You value senior engineers over cheap throughput
  • You can make decisions and move fast
  • Your budget reflects the complexity of the work
We're probably not a fit if
  • You need a cheap outsourced dev team
  • The work is routine (marketing sites, basic CRUD)
  • You need 10+ engineers by next month
  • Low-code or no-code would solve it
  • You need design-led work (we're engineering-first)
  • You want lowest bidder wins
04 How we work

Four phases, no surprises.

The same process runs on every engagement, whether it's a smart contract audit or a multi-agent orchestrator. Short, sharp, built around weekly demos.

01
Discovery
1 to 2 weeks

We map the problem, constraints, success criteria, and non-negotiables. You leave with clarity even if you don't continue with us.

Deliverable Technical scope + fixed estimate
02
Architecture
1 to 3 weeks

System design, contract specs, agent topology, infra diagrams. Reviewed with you before a single line of production code.

Deliverable Architecture doc + sprint plan
03
Build
4 to 20 weeks

Sprints of 1 or 2 weeks with weekly demos. Deployed to staging from day one. No surprises at handover.

Deliverable Production-ready system
04
Operate
Ongoing

Post-launch monitoring, iteration, and on-call support. Optional retainer for continued engineering partnership.

Deliverable SLA-backed partnership
05 Capabilities

The toolchain.

We skip the basics everyone has (Docker, GitHub, AWS, Vercel) and show what actually matters: the tools that reflect deep specialization. If you're hiring for engineering rigor, this is what you're looking at.

AI & Agents
Claude Agent SDK LangGraph MCP servers Pydantic AI LangSmith pgvector Custom fine-tuning
Blockchain
Solidity Foundry The Graph Ponder ERC-4337 Viem · Wagmi MEV tooling
Systems & Data
Rust Go Neo4j Kafka ClickHouse Temporal NATS
06 Studio

Engineered by people
who ship.

Commit Labs was founded by engineers who spent years at the intersection of AI, data, and decentralized systems, tired of watching agencies sell prototypes as products.

We're a small, senior team. No junior developers outsourced to cut margins. No project managers who've never shipped code. Just experienced engineers who've built production systems in both worlds, and know when a problem outside them is worth taking on.

We're based in Israel, part of an engineering ecosystem where production-grade systems and deep AI research are table stakes rather than selling points. That context shapes how we work: directly, technically, with the assumption that the thing has to function under real adversarial load, not just during the demo.

We work with a limited number of clients at any given time, because deep technical work isn't a factory process. If you need speed and scale and cheap, we're probably not the right fit. If you need the thing to actually work in production, we probably are.

Engineered in
Israel · Global clients
Team experience
10+ years shipping AI and blockchain
Team composition
100% senior engineers, no outsourcing
Engagement model
Fixed-scope sprints or time-and-materials
Active capacity
2 to 3 clients at any time
Stage fit
Pre-seed to Series C · Enterprise pilots
07 Contact

Tell us what
you're building.

If the problem is interesting and within our range, we'll respond within 24 hours with honest thoughts on feasibility, scope, and approach. No sales funnels, no discovery-call theatre.

WhatsApp