Production AI systems for work that can't fail quietly.
Voice agents that handle real patient calls. Vision pipelines processing millions of videos. LLM workflows that answer questions over sensitive data. We've built these at Y Combinator startups, and we'll build yours with the reliability engineering that keeps them working after launch.
Most AI projects stall after the demo.
A chatbot prototype takes a weekend. A system your operations team can trust every day takes real engineering: fallbacks when a model fails, monitoring, security, and integration with the tools you already use.
- Built around your process, not a generic tool you have to work around.
- Reliability engineering: redundant model providers, retries, circuit breakers, and human review where it matters.
- Connected to your stack: CRM, EHR, Slack, email, databases, internal APIs.
- Secure by default: access controls, audit trails, and HIPAA-ready infrastructure when needed.
- Measured: we agree on the metric up front, whether hours saved, calls handled, or error rate.
Text, voice, vision. You name it, we've shipped it.
AI voice & phone agents
Agents that make and take calls, understand outcomes, book appointments, schedule follow-ups, and alert your team.
Document & data automation
Extract, classify, and route information from emails, PDFs, forms, and spreadsheets, so nobody has to retype it.
Video & image AI
Computer vision and multimodal models that measure, inspect, transcribe, and index visual content at scale.
Ask-your-data assistants
Let staff ask questions in plain English and get back tables and written summaries from your own databases.
AI search & knowledge bases
Fast semantic search over your documents, media, or catalog, with answers grounded in your own content.
Private & self-hosted models
Run open-source LLMs and vision models on your own cloud or GPUs when data can't leave your environment.
Workflows we've taken to production.
Autonomous AI calling agents for clinics
- Voice agents handled inbound and outbound patient calls, analyzed outcomes, booked appointments, and scheduled callbacks.
- Slack alerts and automated post-call data retrieval kept clinic staff in the loop.
- A configuration app let each clinic define duties, schedules, and agent behavior without engineering help.
- A natural-language query tool answered free-form questions about clinical data as tables and summaries.
- Redundant LLM pipelines and HIPAA-compliant infrastructure, deployed across multiple health centers.
Multimodal video understanding at scale
- Indexed millions of TikTok videos with automatic profile generation.
- Self-hosted vision-language models and speech transcription at 80–90% GPU utilization.
- Semantic search in under two seconds, with fault-tolerant, checkpointed job processing.
Vision AI from everyday cameras
- Our own product: turns existing facility cameras and smartphones into live measurements for parcels, trailers, and inventory.
- In pilots with large enterprise logistics operators.
Model-agnostic. We pick what fits.
We're not tied to any vendor. We choose the model and infrastructure that fits your accuracy, cost, and privacy needs, and we design so you can switch later.
AI workflow questions
We're not sure where AI fits. Can you help?
Yes. That's what the free assessment is for. We look at where your team spends repetitive time and identify the one or two workflows with the clearest payoff.
Is our data safe?
We build with access controls, encryption, and audit logging, and can deploy entirely inside your cloud with private or self-hosted models. We've built HIPAA-compliant systems for healthcare.
What happens when the AI gets something wrong?
We design for it: confidence checks, fallbacks to a second model, human review for edge cases, and monitoring so issues are caught early.
How long does a first workflow take?
A focused workflow typically reaches a working pilot in a few weeks. We start with a short Discovery Sprint so you see results before committing to a full build.
Find your highest-value AI workflow.
Book a free 30-minute assessment. We'll map where AI can save your team the most time.