Built for the real world, not just software
Industrial operations are physical, dynamic, and full of context. We turn what your best people do into a private training set and measurable guidance for everyone else.
Strategy → Pilot → Scale
Align use‑cases with outcomes, then prove value in a tightly scoped 2–4 week pilot.
Feedback‑Driven Training
Operators/supervisors add quick notes at moments that matter; we pair it with the exact clip + transcript.
Your Models, Your IP
Data stays private. Trained models are your intellectual property—no cross‑customer training.
Our process
A pragmatic path from today’s workflows to AI‑assisted operations.
1) Capture
Record key moments on the line (video + audio) and ingest SOPs, checklists, and prior incident logs.
2) Annotate
Supervisors add feedback live via dashboard—or we run passive capture and label after‑the‑fact against your policies.
3) Train
Optimize objective functions around what “good” looks like: fewer interventions, higher first‑pass yield, safer ops.
4) Deploy
Surface guidance, checks, and training snippets right where work happens; close the loop with continued feedback.
Engagement model
Live Supervision
- Dashboard (iPad/desktop) to watch multiple stations
- One‑click comments generate labeled moments
- Great for complex tasks and onboarding
Passive Review
- Continuous recording; our team labels post‑shift
- Follows your training policies and SOPs
- Low lift for teams with limited bandwidth
Pilot timeline (2–4 weeks)
- Week 0: Free consult, define workflows & success metrics
- Week 1: Capture setup, data intake (SOPs, logs), kickoff
- Week 2: Feedback/labeling and first model iteration
- Week 3–4: Deploy guidance, measure gains, next‑step plan
What you get
Use‑case brief
Documented problem framing, objective functions, data sources, and constraints.
Instrumentation plan
Capture setup, privacy zones, retention policy, and consent workflow.
Labeled dataset slice
Moments tied to clips + transcripts + feedback; exportable to your storage.
Pilot model
Task‑specific model artifact and runtime instructions (on‑prem/VPC ready).
Deployment blueprint
How to roll out to adjacent lines/sites; roles, SOP updates, training plan.
ROI snapshot
Baseline vs. pilot metrics with recommendations for scale.
Outcomes & metrics
Onboarding speed
Time‑to‑proficiency for new hires.
Quality
First‑pass yield and defect escape rate.
Stability
Intervention rate per shift, unplanned stops.
Efficiency
Cycle time adherence and rework.
Safety
Near‑miss capture and corrective action closure.
Knowledge capture
Reusable clips tied to SOPs for training.
Security & IP
- Data tenancy options: on‑prem or private VPC.
- Granular access controls and audit trail.
- Configurable retention windows and redaction zones.
- No cross‑customer training—your models are your IP.
We align with your policies and industry standards; we’ll map controls during the consult.
FAQ
How is this different from generic AI platforms?
We train task‑specific models on your operations. Feedback is tied to exact clips and SOPs. Data and trained models remain private to you.
Do we need special hardware?
Usually not—commodity cameras and tablets are fine for pilots. We’ll document requirements during the consult.
Where does the data live?
On‑prem or in your private VPC. We respect your retention policies and can set up redaction for privacy zones.
What’s the fastest path to value?
Pick one high‑leverage workflow, run a 2–4 week pilot, ship a small model, and measure 2–3 metrics that matter.