Fixed price, up front
Every engagement is a fixed fee on a defined outcome, agreed before we start. You know the number, not a range.
Operating proof
AI-first in practice. We run our own company through the same closed-loop systems we build for clients.
What we build
The work that should run itself.
We build production software around the business process: context, tools, approvals, execution, and monitoring.
Agentic workflow systems Knowledge retrieval Human approvals Production operations
Turn slow workflows into software
Agentic workflow systems
Systems that read context, plan next steps, use tools, and escalate when people should decide.
Find the right answer with sources
Knowledge retrieval
Hybrid RAG, durable memory, and source-grounded answers over company docs, calls, tickets, and operating state.
Keep humans in control
Approvals and handoffs
Confidence gates, review points, access rules, and audit trails for systems that touch real operations.
Make adoption practical
AI adoption training
Training for teams adopting AI tools, including coding-assistant workflows for dev teams.
What you're buying
We sell outcomes, not hours.
You buy a result at a price agreed up front, never a developer's time by the day or the hour. When our agents deliver it faster, that speed is our margin, not your overrun.
No hourly billing
No day rates, no timesheets, no “add another developer.” You pay for the result, not the hours behind it.
Speed is our margin
When our agents finish sooner, that gain is ours, not a bigger invoice. Overruns are on us, never on you.
Yours to own
You own the system we build and its source, per the engagement. No perpetual license, no platform to rent, no lock-in.
How we work
A clear process for systems that keep running.
We start with the business workflow, then design the agent architecture, data layer, controls, and operating model around it.
Discover
Map workflows, data sources, risks, and the highest-value automation cases.
Design
Define agent roles, retrieval paths, approvals, success metrics, and escalation rules.
Build
Ship working iterations with real integrations instead of disconnected demos.
Deploy
Launch with monitoring, evaluation, access controls, and production handoff.
Operate
Keep improving the system as the workflow and model landscape change.
Every action leaves a queryable artifact, so work compounds instead of disappearing into chats.
Humans stay at decision points. Agents handle the middle: retrieval, drafting, routing, and execution.
Systems are measured after launch, then improved through traces, failures, and feedback.
Operating proof
We run Soba Labs the way we build for you.
Our own work is captured, searchable, and reusable. Meetings, tasks, decisions, and follow-ups become state that agents and people can use for the next action.
Discuss your workflowCapture
Calls, tasks, decisions, and project notes become durable artifacts instead of disappearing into chat.
Remember
Markdown, git, and Postgres keep company knowledge and operating state queryable.
Act
Agents help draft, research, route, and follow up while people stay responsible for judgment.
Selected work
Real systems. Real operating context.
Loyalty operations system
Agent-supported workflows for customer support, campaign operations, and knowledge retrieval.
Support routingSource-grounded answers
Operations automation
AI workflows across back-office and operational processes for a manufacturer selling into the EU and US.
Back-office workflowsEU and US operations
Patient-care assistant
A care-focused assistant for triage, coordination, and support workflows with careful human oversight.
Triage and coordinationHuman oversight
Blog
Notes on building production AI systems.
Essays from Soba Labs on agentic workflows, operating state, knowledge systems, and the craft of getting AI into real business processes.
Open the blog FAQ
Fair questions, straight answers.
How can the price be fixed when AI work feels uncertain?
We scope a defined outcome with you and put one number on it before we start. If it takes longer than planned, that is our cost, not yours.
What happens after the call?
If there is a fit, you get a written proposal with the outcome, the fixed price, and the timeline. No discovery retainer, no open-ended workshop.
Why not just build this in-house?
You can, and sometimes you should. But a production agentic system is not a prototype: it needs retrieval, evaluations, controls, and monitoring to stay reliable as models change. We deliver that as a finished outcome in weeks and you own the result, and if in-house is genuinely the better call, we will tell you on the first call.
Do you work with our existing stack?
Yes. We integrate with the systems and cloud you already run instead of introducing a parallel platform you would have to maintain.
Who actually does the work?
A senior team working with the same agentic systems we sell, led by our founder, an ex-CTO and LangChain Ambassador. No layers of juniors learning on your budget.
What if an agent is the wrong answer for our workflow?
We tell you. Some workflows should become software, some need training, and some should stay human. The call costs you nothing either way.
Book a call
Let's build what should run itself.
Bring one workflow that is slow, repetitive, knowledge-heavy, or hard to coordinate. We will map what a production agentic system could do and what should stay human.
No sales pitch. Just a focused conversation about whether the workflow should become software, training, or nothing yet.