We don’t scale with headcount. We compound expertise.
Seven areas of deep, in-production AI — medical computer vision, domain-specific SLMs, agentic systems, Snowflake-native data, clinical governance. Every engagement compounds into our own accelerators (XINA + the Agentic OS), so each build ships faster than the last. Real proof, forward-deployed — no slideware.
Seven things we’re genuinely deep in.
Not a menu of buzzwords — each one is in production, with proof.
Computer vision & medical perception
Detection, classification and multi-model ensembles for clinical imagery, built to production — with guardrail-gated inference APIs. Proof: a 5-quadrant dental-perception pipeline (RF-DETR) with real-world retraining, for a deep-tech dental-AI startup.
Domain-specific SLMs
Fine-tuned, post-trained domain “brains” built on proprietary longitudinal data — not wrappers around a generic LLM. Proof: a Qwen-3 domain-SLM track (Cortex training + multimodal LoRA). Very few boutiques can say this.
Agentic AI & orchestration
Multi-agent workflows that run business processes end to end — triage, routing, review queues, SLA engines, care orchestration. Proof: AWS Bedrock + AgentCore architectures and the Leslie + XINA accelerator family.
Enterprise data on Snowflake
Data foundation, architecture, strategy and governance as a discipline — Cortex Search, Snowflake Intelligence, Native Apps, and longitudinal patient/entity-360 models. Proof: XINA production retrieval + Patient 360.
Compliance & clinical governance
HIPAA/COPPA consent lifecycles, guardian-rights models, and clinical-rules engines where practitioner authority is never overridden — an FDA-conscious decision-support posture. The expertise MedTech buyers worry about most.
Health-system & EHR/PMS integration
Two-way sync with practice-management and hospital systems, adapter architecture, and WhatsApp-first patient channels for markets where that’s the rail. Proof: practice-management integration and MuleSoft-scale enterprise delivery.
Full-stack AI & cloud MLOps
From mobile capture UX to web portals to SageMaker/GPU training pipelines — one team, concept to production, milestone-tracked. Proof: 22 of 28 milestone items plus 10 beyond-scope extras on a recent MVP.
Services scale with headcount. Expertise compounds into IP.
A traditional firm needs more people for more work — cost rises in lockstep with revenue. We built the other model: every venture adds reusable skills to our accelerators (XINA + the Agentic OS), so utilization, speed and margin climb with each project. The IP compounds. The headcount doesn’t.
Snowflake-native by design.
You may already have Snowflake — perfect. That’s the foundation. XINA is the intelligence on top, and the Agentic OS runs the operations. Data, compute and AI stay inside your boundary; nothing leaves without consent. Governed, auditable, and assembled by our forward-deployed engineers.
Agentic OS
Operations that run themselves — agents across every department.
XINA
The intelligence layer — the questions no source system can answer.
Your data foundation
Native to Snowflake. Data, compute and AI stay inside your boundary.
- agents across departments — our own accelerators
- 37 / 8agents across departments — our own accelerators
- from data chaos to agentic AI, in production
- 90 daysfrom data chaos to agentic AI, in production
- clinical-grade computer-vision accuracy, published
- 85%+clinical-grade computer-vision accuracy, published
- in production inside real organizations
- 11 yrsin production inside real organizations
Bring your hardest AI problem. We’ll bring the expertise.
This expertise powers every venture — Enterprise, Startups, Small Business & Healthcare.
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