LangGraph agent orchestration
Multi-step agents that read context, take the next step, and escalate the calls only people should make.
Official LangChain Ambassadors & Experts
LangSmith consulting
LangChain experts who ship production systems.
Soba Labs is a team of official LangChain Ambassadors and Experts. Custom agentic systems on the LangChain stack. Production-ready AI, not prototypes.
LangSmith consultingWhat we build on LangChainAgent orchestration Knowledge retrieval Evals and observability Security and control
The full LangChain stack, in production.
Retrieval and memory
Hybrid RAG and durable memory over your docs, calls, and tickets, grounded in real sources.
Evals and observability
LangSmith evals, tracing, and monitoring so the system stays accurate as models and data change.
Human in the loop
Confidence gates, review points, and audit trails for agents that touch real operations.
We also train teams with practical AI workshops built around the tools they already use.
FAQ
LangChain, answered.
What is Soba Labs?
Soba Labs is an AI-native software development company and a team of official LangChain Ambassadors and Experts. We build custom agentic systems and workflows on the LangChain stack that solve real business problems for mid-sized and growing companies, tailored to each client and delivered fast at a fixed price.
Are Soba Labs official LangChain Ambassadors?
Yes. Soba Labs are official LangChain Ambassadors and Experts, led by founder Simon Budziak, a LangChain Ambassador for Poland and a former CTO. We work across the LangChain stack: LangGraph for agent orchestration, retrieval and RAG, and LangSmith for evals and observability.
Who are the LangChain Ambassadors in Poland?
Simon Budziak, founder and CEO of Soba Labs, is an official LangChain Ambassador for Poland. He runs the LangChain community meetups in Kraków, Warsaw and Wrocław, and Soba Labs, based in Poland inside the EU, builds production LangGraph and LangSmith systems for clients.
What is a production agentic system?
A production agentic system is software, built with AI agents, that runs real work in production rather than a prototype. It reads context, takes the next step, and escalates the exceptions to a person, with confidence gates, evals, and monitoring that keep it reliable as models change.
How do you price a LangChain build?
We sell outcomes, not hours: a fixed price on a defined outcome, agreed before we start and delivered in days. Every system is custom to your process and your data, and you own it and its source, with no lock-in.
How do you take a LangGraph agent to production?
We model the agent as an explicit LangGraph state machine, trace every run in LangSmith, and gate each prompt, model or retrieval change on an evaluation set built from real conversations. Side effects such as CRM writes get idempotency keys, and uncertain cases route to a person instead of a guess. The Open Loyalty case study shows the whole loop.
Do you offer LangSmith implementation and evaluation consulting?
Yes. We set up LangSmith tracing, evaluation datasets, calibrated LLM-as-judge evaluators and production feedback loops for LangChain and LangGraph agents, either inside a system we build or on an agent your team already runs. See LangSmith consulting.
Which parts of the LangChain stack do you work with?
The whole stack: LangChain for fast agent starts, LangGraph when the workflow needs explicit state and control, Deep Agents for long-running tasks that plan and delegate, and LangSmith for tracing and evals, plus production deployment. We pick the lightest one that does the job.
Case studies
Built, shipped, and running in production.
AI campaign localisation pipeline
The reasoning core of a multi-agent localisation pipeline: a structured client rule base, the agents that reason over it, and producer approval at key decision points.
End to endfresh jobs passed every step, from brief to packaged multi-market, multi-format deliverables
Read case study
AI SDR and inbound sales agent
A production sales agent that qualifies inbound leads, answers product questions from a live knowledge base, and writes structured outcomes back to the CRM.
No duplicatesone CRM write per conversation turn, held by idempotency keys and a timeout regression test
Read case study
Patient education assistant
A patient-facing assistant that explains health scan results from an approved medical knowledge base. Low-confidence and clinical questions route to a clinician.
15%of conversations routed to a clinician; the rest answered from approved material
Read case study1/1
What you're buying
Outcomes, not hours.
We sell a fixed price on a defined outcome, delivered in days. Every system is custom to your process and your data, and you own it and its source. No product to license, no platform to rent, no lock-in.
Book a consultation