Production software shipped in days,not months.
SB AI Labs is an AI-native software studio. Web apps, automations, internal tools, and agent systems — delivered with less overhead than a traditional agency.
What we ship
Founder-backed credibility
AI-native delivery, human review
Fixed-scope sprints to production
Internal operating system
AI-native by default
Internal stack
Claude Code, Codex, Cursor, LangChain, LangGraph
Typical output
Production software, not generic AI experiments
Best fit
Teams that need something shipped, integrated, or automated fast
Founder-backed credibility
Led by Simon Budziak — official LangChain Ambassador, hands-on across startup and enterprise AI delivery.
Selected environments
Built and shipped across these organisations
Founder-led by an official LangChain Ambassador
Production software, not slide-deck prototypes
Built with AI-native delivery workflows and human review
What we build
Four clear offers. Pick the one that fits.
AI Agent Systems
End-to-end LLM workflows for teams that need agents to survive real usage, messy data, and production constraints.
- +RAG pipelines with retrieval that holds up under real queries
- +Multi-agent orchestration with LangGraph
- +Tool use, evals, observability, and deployment
Custom Software Development
Web apps, mobile apps, internal tools, data pipelines, and integration layers built with an AI-native delivery model.
- +Customer-facing and internal product surfaces
- +CRM integrations, dashboards, workflow layers, and APIs
- +Smaller delivery overhead than a traditional agency
AI Implementation Sprints
Fast engagements for teams that want to ship their first production AI workflow or prove a process is worth automating before committing to a larger build.
- +One clear operational bottleneck or product workflow
- +Scoped build with fast decision loops and direct handoff
- +Useful when the best next step is execution, not a strategy deck
AI-Assisted Coding Workshop
Practical workshop for engineering teams adopting Claude Code, Codex, Cursor, and AI-assisted delivery workflows without sacrificing quality.
- +6-hour remote or on-site format tailored to the team
- +Real workflows for agentic coding, review, and guardrails
- +Security, governance, and enterprise rollout framing
Why AI-native
AI is how we build. Not what we automatically sell.
AI-native means the entire delivery pipeline — planning, coding, review — runs with coding agents and LLMs at the core. Less overhead, faster cycles, more of your budget into shipped software.
AI is our internal operating system
Claude Code, Codex, Cursor, LangChain, LangGraph — inside the delivery process to compress build cycles without dropping engineering review.
Clients buy working software
Agent, CRM integration, mobile app, or automation layer — the business problem decides the output.
Smaller teams, faster loops
Less coordination overhead means more scope ships in the same calendar time.
Typical output
The deliverable can vary. The operating model does not.
How we work
Three steps. Short loops. Real delivery.
Scope the bottleneck
Identify the operational or product constraint slowing you down. The first call is about a buildable target, not abstract AI strategy.
Build the smallest production version
Move quickly toward a real deliverable — workflow, integration, app, or agent. Short loops and direct feedback over long roadmap decks.
Ship, harden, and hand off
Document the edges, tighten reliability, and leave your team with something they can actually operate — not admire in staging.
Selected outcomes
Work that shipped.
Customer-facing agent system
AI SDR Chatbot
Stateful sales workflow with tool use and conversation control built for real customer interaction, not demo traffic.
Clinical workflow support
Healthcare Patient Agent
Patient education and routing workflow that reduced false positives and improved handoff accuracy inside a healthcare context.
AI-native product build
EasyGamePort
Product built with an AI-native engineering workflow that moved fast enough to reach the Y Combinator final interview round.
Open-source proof
LangChain Agent Skills
Open-source distribution showing deep hands-on experience with agent workflows, orchestration patterns, and real developer adoption.
Founder credentials
Founder
Simon Budziak
LangChain Ambassador, hands-on AI engineer, shipping across startups, enterprise, and open source since before the hype.
“We care about software that survives real users, messy data, and production constraints. If it only works in the demo, it is not done.”
FAQ
Common questions
Book a call
Clear next step, whether you want strategy or execution
Scheduling is the primary path. The form stays here for teams that want to send a brief first or share context before the call.
Strategy call
Bring the bottleneck. We will figure out the right build shape.
The first call is for scoping fit, timeline pressure, and whether the right next step is a sprint, a custom build, or a workshop.
Best for teams that already know the workflow or product surface they want to improve.
Use the call if you want help scoping the right engagement before committing.
Use the form if you prefer to send context asynchronously first.
Send a brief instead