Who this is for
Industrial distributors and component manufacturers in the UK and DACH.
End spec-to-part confusion for industrial distributors and component makers. Help customers pick the right part first time and cut support load.
Industrial distributors and component manufacturers in the UK and DACH.
Faster part selection, fewer wrong-fit returns, higher web conversion, and fewer repetitive tickets.
A sophisticated system that transforms complex technical data into accurate, accessible product recommendations.
We ingest PIM/ERP/PLM data, product CSVs, and PDF datasheets, then unify them into a clean schema.
A product graph (relations, constraints, alternates) plus vector search (semantic match) to answer complex queries accurately.
Flags contradictions when new specs or notices are added, keeping the knowledge base consistent over time.
Users can ask in natural language, refine with parametric filters, or chat for step-by-step guidance.
Creates a ticket with an AI summary, proposed resolution, and smart dispatch to the right team.
Actionable dashboards that help leaders see coverage, accuracy, gaps, and conversion impact.
Powerful features designed specifically for industrial component selection and specification matching.
Users submit application specs; the agent returns compatible parts with clear “why this fits” explanations.
Recommends alternatives for shortages, costs or end-of-life, checked against constraints.
Upload a BOM to validate items, highlight gaps, and propose substitutes.
Handles unit conversion (e.g., psi ↔ bar), tolerances, and min/max constraints.
Applies rules like “fits with series X only above 24V” and explains the decision.
Surfaces products and answers in English and German.
Connect seamlessly with your existing systems and workflows.
Built-in connectors for support workflows, including Zendesk and Intercom.
API hooks for ERP/CRM/PIM. New connectors delivered via a scoped implementation.
Enterprise-grade security with flexible hosting options and comprehensive access controls.
Encryption in transit and at rest, least-privilege access, and UK/EU hosting options.
Role-based access, audit trails, and SSO/SAML readiness. We do not currently hold external certifications; controls are engineered to enterprise standards and are audit-ready.
Real-world evidence of our technology's capabilities.
A short testimonial from math-angel.io with logo. While an education client, it evidences our ability to build structured knowledge graphs, integrate user/product data, and deliver accurate, personalised retrieval.
Data review, success criteria, architecture fit (graph + vector), integration plan, timeline, and PoC scoping.
See how AI Tech's Component Finder stacks up against other approaches.
| Approach | Limitations | AI Tech Wins |
|---|---|---|
| Generic site search | Ignores units, tolerances, and part-family logic; weak explainability. | ✓ Full spec understanding |
| Static parametric filters | Requires exact field knowledge; no semantic reasoning; slow for complex specs. | ✓ Natural language queries |
| PDF catalogues & spec sheets | High user effort, no cross-references, and no analytics. | ✓ Instant, intelligent search |
| Build in-house | Long runway to reach graph+vector quality; significant maintenance burden. | ✓ Ready to deploy |
| Vector-only chatbots | Miss relational constraints and alternatives, increasing the risk of poor suggestions. | ✓ Hybrid graph + vector |
See Pricing. Costs vary by catalogue size, traffic, integration scope, and SLA.
No obligation, 30-45 minutes. Primary CTA, plus a secondary link to the ROI calculator in Resources.
Product CSV/PIM export, spec sheets (PDF), taxonomy, cross-reference rules, and any constraint logic.
OCR and structured parsing; parameters normalised into the graph; ambiguities flagged by KB Watchdog.
The graph encodes equivalence and compatibility; the vector layer finds near-matches; a rules engine enforces constraints.
Retrieval-first answers, constraint checks, KB Watchdog for contradictions, and human handover on low confidence.
Yes. UK/EU hosting options with a data-processing addendum.
Route to Zendesk/Intercom or email; tickets include an AI summary and proposed resolution.
Query volumes, success rate, no-result terms, refinement paths, handover rate, and attributed conversions.
Component Finder focuses on pre-sale selection and product discovery; the SaaS deflection solution targets post-sale support. Both share the same core tech (graph+vector, KB Watchdog, handover, analytics).
Help your customers find the right part first time, every time.