What we are known for
LLM systems that run unattended.
These are in production right now. The difference between them and a demo is not the prompt — it is everything wrapped around the prompt.
01The problem with AI projects
The demo takes a week. Everything after it takes the rest.
Getting a model to produce something impressive is the easy part, and it is the part every vendor shows you. What decides whether the system is still running next quarter is the unglamorous half: what happens when the provider times out, when a job dies late in a long chain, when the model returns something confidently wrong and nobody notices for a month.
We build that half first. Every model call is wrapped in bounded retries, an explicit timeout and typed error handling before a single feature is built on top of it. Long workflows are modelled as named, resumable stages rather than one long chain, so a failure costs you one stage instead of the whole run. And wherever a wrong answer is expensive, the pipeline stops at a review gate and waits for a human.
02What you get
Scope, in plain terms.
Not every project needs all of this. The scoping call is where we work out which parts you actually need.
Document & data pipelines
Multi-stage extraction from PDFs, archives and third-party sources. Explicit status per stage, idempotent jobs, resumable on failure, live progress in the UI.
Retrieval (RAG)
Answers grounded in your corpus rather than model recall. Embedding, chunking and vector search tuned to your content, with the sources traceable.
Agents & tool use
Agents that call real tools against real systems, with bounded autonomy, structured outputs and an audit trail of every action taken.
Provider routing & failover
Model calls routed through a gateway so you can switch providers, absorb outages and control cost without touching application code.
Human-in-the-loop review
Review gates built into the workflow, not bolted on. Reviewers see the model's disagreements and flagged issues before anything ships downstream.
Evaluation & cost control
Measuring whether output is actually getting better, and what each run costs, before it becomes a line item nobody can explain.
03Take this with you
Questions worth asking any AI vendor
- 01What happens when the model provider times out mid-job?
- 02Does a failure mid-chain restart the whole pipeline?
- 03Who reviews a wrong answer before a customer sees it?
- 04Can you switch providers without a rewrite?
- 05Where is the record of why the model decided that?
- 06What does one run actually cost?
We designed our answers to these into the architecture. If a vendor has to think about them on the call, that is the answer.
04Stack
What we build it with.
OpenAI, Anthropic, LangChain, Portkey routing, Pinecone vector search, the Vercel AI SDK and ElevenLabs, on top of Rails, FastAPI and Next.js.
05Also available
The rest of what we do.
Our Trusted Clients
We’re proud to partner with forward-thinking companies across industries.
06In their words
Clients who stayed, and said why.
“Infinikorn team are INCREDIBLE! They are knowledgable, very organized, have excellent communication skills, super organized and professional. Sohair came in after I had a bad experience with my first development team and improved our web app drastically over a short amount of time. I couldn't recommend him more!!”
Melissa Ramirez
Founder & CEO, TeleSesh
“We hired them initially for a Rails project but have continued to work with the Infinikorn team for more than a year now. They have great communication, technical skills, and a strong team that takes care of full-stack dev work. I'm continually impressed by their thoughtful approach to development and the speed at which the team is able to ship updates and features.”
Erich Rampel
Head of Product, WeGuide Healthcare
“The team has done a tremendous job. They're reliable, good communicators, and excellent developers. They go the extra mile and actively think along while creating new functionalities. They're an asset to any company developing high-quality software.”
Thijs S
Head of Product, WeGuide Healthcare
“Infinikorn team is absolutely wonderful to work with. They think and act like owners — going above and beyond expectations. I can't wait to work with them again and highly recommend!”
Blas Moros
Founder & CEO, The Blank App
“They understand and live customer satisfaction — being available, listening, ensuring a shared understanding, and constantly delivering above expectations. I highly recommend Infinikorn for reliability and professionalism, which is critical when timelines, quality, and limited resources are important.”
Keaobaka Ramantsi
MD, Social Networking
“Infinikorn has brought a great deal of expertise to our booking platform build. Communications are prompt and responsive, with a genuine desire to understand and support the growth of our business.”
Katie Sheikh
Founder, Yoga Team
“This is the third time we have collaborated with Infinikorn. Once again all our needs have been met and the job was completed both within the schedule and budget expected. Reliability cannot be understated in our industry.”
Pablo
Founder & CEO
“Really enjoyed working with Infinikorn. Work was done quickly, great communication, and will definitely be working with them again in the future. Highly recommend.”
Ali Schiller
Founder & CEO
07Start here
Tell us what you are building. We will tell you what it takes.
Four short steps, then a real conversation with the engineer who would build it. No sales call, no discovery deck.
Rather just talk?
Grab 45 minutes. You will be on with an engineer, not a salesperson.
- No NDA needed to have the first conversation
- You keep the architecture note either way
- We will tell you if we are the wrong fit