Object detection, pose estimation, tracking, and video analytics.
The core of our gym rep counter, ANPR, and loitering-detection work.
Applied AI, shipped to production.
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.
Real-world input
Messy. Moving. Unpredictable.
Computer vision, document AI, and predictive systems on messy operational inputs. No vanity demos. Just shipping.
- Computer Vision
- Document AI & OCR
- Predictive Analytics
Machine interpretation
Context becomes structured signal.
Object detection, pose estimation, tracking, and layout-aware parsing of messy real-world documents.
- Detection · Pose estimation · Video analytics
- OCR · Layout parsing · Handwriting
- Agents · RAG · Tool use
Production outcome
A useful system your team owns.
Sub-50 ms latency, no cloud round-trip, privacy by design. The same engineers who scoped the work stay with it.
45ms Edge latency
50+ Deployments
100% Senior team
Real-world input
Messy. Moving. Unpredictable.
Machine interpretation
Context becomes structured signal.
Production outcome
A useful system your team owns.
45ms edge latency 50+ deployments
A decade of applied work, quietly shipped across five countries.
10+Years applied
Data science, AI consulting, production deployment.
50+Deployments
Shipped for clients across US, UK, India, Australia, Singapore.
45msEdge latency
End-to-end inference on edge hardware, in production today.
100%Senior team
No juniors. No handoffs. The person scoping builds.
Built on experience at
ZooxMicrosoftOracleCMUGeorgia TechIIT
Our team’s industry and academic backgrounds.
What problem are you solving?
We specialize in six core AI disciplines. Tell us your challenge — we’ll map the fastest path to measurable results.
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.
Book a free scoping call
1 / 6 · Computer Vision
From first call to production in weeks.
A proven 4-step engagement model designed to move fast without cutting corners.
-
Step 1
30 minutes · free
Scoping Call
A free 30-minute call to understand your problem, data, and constraints — and to tell you honestly whether AI is the right fit.
-
Step 2
2–3 weeks
Proof of Concept
2–3 weeks to build a working model on your actual data — not a demo, a real baseline you can evaluate.
-
Step 3
4–8 weeks
Production Build
We harden the model, integrate with your stack, and ship it to your infrastructure — cloud, on-prem, or edge.
-
Step 4
Long-term partner
Ongoing Ownership
Monitoring, retraining, and iteration. The same engineers who built the system stay with it — no handoff to a support team.
Systems in production, not just pitch decks.
Three full case studies, two project previews, and two technical demonstrations.
01 · Fitness & wellness
Gym exercise recognition & rep counter
Real-time computer vision that recognises exercises from a phone camera and counts reps automatically — no wearables, no manual input. Runs fully on-device.
- Detects 12+ exercises: squats, push-ups, curls, lunges, planks
- Real-time pose tracking at 30 FPS on mid-range phones
- Live form-correction feedback, on-device for privacy
98%Rep accuracy
30fpsOn-device
02 · Smart city & security
ANPR — automatic number plate recognition
Edge-deployed ANPR for tolling, access control, and enforcement. Handles multi-lane traffic, low light, adverse weather, and mixed plate formats across regions.
- Multi-lane capture with sub-50 ms end-to-end latency
- Robust across rain, night, motion blur, angled plates
- On-device inference on NVIDIA Jetson edge hardware
99.4%Read accuracy
45msLatency
03 · Finance & document AI
Handwritten invoice digitisation
OCR + layout-understanding pipeline that turns messy handwritten invoices into structured records — ready for ERP import and automated reconciliation.
- Handles mixed handwriting, stamps, variable layouts
- Extracts line items, totals, dates, vendor details
- Human-in-the-loop review for low-confidence fields
96%Field accuracy
10×Faster
Project previewLoitering detection system
Behaviour analytics without false alarms. 92% precision · <2s alert latency.
Project preview · concept visualHorse pedigree extraction platform
12k+ lots processed · 99% page accuracy.
We don’t just build models. We ship systems.
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.
Senior-only, by design.
Every AI2SEE project is scoped, built, and maintained by senior engineers with production experience at Zoox, Microsoft, Oracle, CMU, Georgia Tech, and IIT.
Honest scoping, up front.
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.
End-to-end ownership.
Same people scope, build, deploy, maintain. Slack the engineer writing the code — not an account manager filing a ticket.
Your infrastructure, your data.
On-prem, edge, or your cloud account. SOC2-aligned pipelines. No forced round-trips to our servers. Your data never leaves your control.
Tell us the problem. We’ll tell you honestly whether AI is the answer.
A free 30-minute scoping call. No slides, no sales. If we can’t help, we’ll tell you who can.
Book a scoping call info@ai2see.comTypical response < 24h, business days.
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