A senior pod — product, design, ML, eval, platform — embedded with your team. Web, mobile, desktop, voice, and agents. 90 days to production. Working software every sprint. No pyramid billing.
A pod is the unit of delivery. Senior, cross-functional, and paired with two of your engineers from day one so ownership actually transfers.
Owns roadmap, exec relationship, trade-offs. Veteran PM with AI scars.
Designs how people interact with AI. Trust, transparency, sources, and the option to undo — by default.
Builds the models, retrieval, and agents. Picks the simplest thing that works — then makes it robust.
Builds the test sets and quality checks that keep the product accurate after launch — not just on demo day.
Deployment, single sign-on, monitoring, and cost control. Hands your infra team a runbook they can own.
Cadence, ceremonies, stakeholders. Keeps a fast-feedback pod actually fast.
Every pod ships in one of these shapes — from a narrow copilot to a full platform. We pick the smallest thing that answers the business question.
In-app assistant with context, actions, and audit trails. The starter build for most enterprises.
Swift / Kotlin native with on-device inference, voice-first flows, multi-modal capture.
Tool-calling agents, human-in-the-loop, audit log, policy engine. For complex internal workflows.
RAG over your docs and data. Source-cited, eval-gated, faster than your CMS search.
Real-time voice surfaces — wake words, interruption, TTS tuned to your brand.
Natural-language data surfaces on top of your warehouse. Governed SQL, guardrailed charts.
Demand, risk, revenue. Classical ML in the core, LLM for explanation and UX.
UI that rebuilds itself around the task — schema-driven, eval-guarded. For novel UX bets.
Structured extraction from PDFs, contracts, clinical notes. Human-in-the-loop by default.
Regression, drift, red-team. Your second line can sign off. Pays for itself by month three.
Elasticity-aware pricing, promo ROI, markdown optimization for retail and CPG.
Hybrid retrieval + LLM re-ranking for commerce, content, and internal knowledge products.
Fraud, AML, SLA drift, supplier risk. Explanations that second-line teams can defend.
Replaces RPA + macros with LLM-driven flows. Exception handling that actually handles exceptions.
Internal answer engines built on RAG, permissions, and source-grade citations. Good change management.
Image, video, and document vision surfaces. Medical, industrial, and retail deployments.
When prompting isn't enough. Data curation, SFT, evaluation, deployment, and handover.
Low-latency inference at the edge or in-session. For voice, trading, ops, and live UX.
A single working-session — scope, metrics, risks, and what "done" means.
Reference architecture and the eval plan that gates every release from day one.
Two-week cadence. Working software at every review. No "trust us" slides.
Beta cohort live. Real signal replaces opinion. Eval harness already running.
Runbook, on-call rota, and your team paired and trained to run it without us.
We pick tools based on what's running in production, not hype — and port cleanly when the landscape changes.
You've chosen the first bet. We scope, architect, ship production v1, and hand it to your team.
A portfolio of builds, run as a program. Shared platform and eval infra across builds, faster cycle times per bet.
We place one or two senior specialists inside your product org to pair, mentor, and unblock for a quarter or more.
EHR-integrated intake assistant for a network of 14 urgent-care clinics. Specialty-aware, evaluator-reviewed weekly, with a human-in-the-loop escalation path.
A reconciliation copilot that reads ERP variances and drafts the monthly commentary for the close team. Eight hours per close, back in the analyst's week.
Pulls account context, drafts outreach, logs back to CRM. Deployed to 300 RMs, expanded to wealth & private banking within two quarters.
Most engagements start with a 60-minute brief. By the end of it, you'll know whether we're the right team — and what shipping v1 would actually look like.