Magnetic component
defect detection.
Surface flaws, flux-pattern anomalies, dimensional drift — caught across 14 SKUs under variable lighting. Self-adapting when the factory floor changes.
Keplore builds production-ready AI systems for hard, real-world problems — in days, not months. Powered by PhysMind (formerly SRES), our autonomous AI engineering engine.
From electronic component inspection to robot guidance to automotive lines — built, validated, and adapting in production. Not demos. Not pilots. Real deployments, under real conditions.
Surface flaws, flux-pattern anomalies, dimensional drift — caught across 14 SKUs under variable lighting. Self-adapting when the factory floor changes.
Target position + pose with confidence scoring. Variable fixtures, shifting parts — with typed outputs and defined retry/hold/divert logic wired into the controller.
Production lines shift — tooling wear, part variation, fixture drift. Rule-based vision can't keep up. PhysMind builds the perception layer, validates it, and adapts as the line evolves.
There's a fundamental difference between writing software and building an AI system. Software connects components — once the logic is right, it generalizes. AI systems require experimentation under constraints, continuous validation, and adaptation as data shifts. Keplore automates the hard part.
The gap between "model that works in a notebook" and "AI system that holds up in production" is enormous. No existing tool — coding assistants, off-the-shelf models, or manual ML engineering — closes it reliably. That gap is what KeploreAI is built to solve.
Keplore works where standard models break down — variable environments, mission-critical accuracy, and production conditions that change over time.
Keplore is an AI technology company that delivers real solutions. The distinction matters when you're putting AI into production and someone has to be accountable for whether it holds up.
| Manual ML | AI Platforms | Keplore | |
|---|---|---|---|
| Delivers in days | — | Sometimes | ✓ |
| Acceptance criteria upfront | Varies | — | ✓ Always |
| Validation evidence at handoff | Varies | — | ✓ Every build |
| Governed post-deploy updates | — | — | ✓ Standard |
| Typed output contracts | — | — | ✓ Every module |
| Self-adapts to data drift | — | Partial | ✓ PhysMind |
| Works without your ML team | — | — | ✓ That's the point |
Whether you need a deployed solution for your production line, or you want to work directly with the AI system builder — Keplore has a path for you.
Beyond coding tools and model wrappers — PhysMind plans, experiments, validates, and deploys AI systems that adapt to real-world conditions without manual ML engineering at every step.
Tell us what you're building. We'll tell you whether Keplore is the right fit — and what it would take to get there.
Solutions