A small senior crew building production-grade LLMs & agents, computer vision, and predictive systems for enterprise. No juniors on your project. No vanity demos. Just shipping.
Data science, AI consulting, production deployment.
Shipped for clients across US, UK, India, Australia, Singapore.
End-to-end inference on edge hardware, in production today.
No juniors. No handoffs. The person scoping builds.
We specialize in six core AI disciplines. Tell us your challenge — we'll map the fastest path to measurable results.
Object detection, pose estimation, tracking, and video analytics — the core of our gym rep counter, ANPR, and loitering-detection work.
Layout-aware parsing of messy real-world documents — handwritten invoices, auction catalogues, forms — into clean, structured data your systems can use.
Models that run on Jetson, mobile, and embedded hardware — sub-50 ms latency, no cloud round-trip, privacy by design.
LLM-backed agents and tool-use systems for workflows that need reasoning, not just classification — with the guardrails to run them in production.
Forecasting, classification, and anomaly detection on your structured data — with models you can actually understand and retrain.
The unglamorous part: model serving, monitoring, retraining, and keeping systems running long after the PoC demo ends.
A proven 4-step engagement model designed to move fast without cutting corners.
A free 30-minute call to understand your problem, data, and constraints — and to tell you honestly whether AI is the right fit.
2–3 weeks to build a working model on your actual data — not a demo, a real baseline you can evaluate.
We harden the model, integrate with your stack, and ship it to your infrastructure — cloud, on-prem, or edge.
Monitoring, retraining, and iteration. The same engineers who built the system stay with it — no handoff to a support team.
Five recent engagements. Real metrics, measured against baselines the client set themselves.
Real-time computer vision that recognises exercises from a phone camera and counts reps automatically — no wearables, no manual input. Runs fully on-device.
Edge-deployed ANPR for tolling, access control, and enforcement. Handles multi-lane traffic, low light, adverse weather, and mixed plate formats across regions.
OCR + layout-understanding pipeline that turns messy handwritten invoices into structured records — ready for ERP import and automated reconciliation.
Behaviour-analytics layer that sits on top of existing CCTV feeds and flags individuals lingering in restricted zones — without false alarms for normal foot traffic.
Document-AI pipeline that ingests auction catalogues and turns them into structured pedigree data — enabling fast lot lookup, lineage analysis, and buyer intelligence.
Most AI engagements end with a PoC and a PowerPoint. Ours end with a running service — monitored, documented, and owned by your team. Here's how we work differently.
Every AI2SEE project is scoped, built, and maintained by senior engineers with production experience at Zoox, Microsoft, Oracle, CMU, Georgia Tech, and IIT.
If AI isn't the right fit — or a simpler system would ship faster — we'll tell you on the first call. We optimise for your outcome, not our invoice.
Same people scope, build, deploy, maintain. Slack the engineer writing the code — not an account manager filing a ticket.
On-prem, edge, or your cloud account. SOC2-aligned pipelines. No forced round-trips to our servers. Your data never leaves your control.
No pyramid billing. The person on the scoping call is the person writing code that runs in production.
Practical writing on what actually ships — edge deployments, document AI, cost-aware eval harnesses, and the boring parts of production ML that everyone skips.
How we shipped 30 FPS pose tracking on a mid-range phone — the quantization trade-offs, the edge cases, and why on-device won over a cloud round-trip.
Read the articleAn honest walk-through of TensorRT, INT8 calibration, and the benchmarks nobody prints — with real numbers from a multi-lane deployment.
Read the articleLayout-aware extraction for handwritten auction catalogues — why vanilla OCR fails and what it takes to get to 99% page-extraction accuracy.
Read the articleA free 30-minute scoping call. No slides, no sales. If we can't help, we'll tell you who can.
Tell us about your project. We'll respond within 24 hours with a tailored approach — or an honest "we're not the right fit, try these folks."
Book a 30-minute session and receive a personalised AI opportunity map — no cost, no obligation.