The Product: ReshapeX Knowledge Grounding Layer [Skip to main content](#main-content)[Skip to navigation](#navigation)[Skip to footer](#footer) THE PRODUCT # How the knowledge grounding layer actually works. Standard approaches ceiling near 80% on real industrial questions. The layer, the harness, and the evals are how you get the rest of the way to 99.9%. A graph-based structure of your catalog, specs, and docs, built at build time, reached through a purpose-built tool harness, kept current with continuous sync. This is the architecture underneath every agent, and what it takes off your team’s plate. GRAPH · HARNESS · EVALS · SYNC * * * WHAT WE AUTOMATE ## The share of the job our agents take on. Inside Sales 70–80% of the day-to-day, automated with citations. * Quotes * Cross-references * Stock & lead time * Follow-ups Customer Service 80–90% of the day-to-day, automated with citations. * Order status * Availability * Returns & RMAs * Drafted replies Applications Engineering 60–70% of the day-to-day, automated with citations. * BOM review * Substitutes * Compatibility * RFQ → proposal Maintenance & MRO \>80% first-contact resolution, automated with citations. * Spare identification * Obsolete crosses * Procedures & manuals * MRO requests Ranges reflect live deployments. Your AI Assessment scopes the exact split for your team. WHAT SITS UNDER YOUR AGENTS ## One verified layer underneath every agent. Built at ingest, not at query time, reviewed by your experts, reached through a purpose-built tool harness. Answering a questionBuilding the graph A question meets the Knowledge Graph ↺ Replay Incoming question Semantic Index · extracted constraints Straight shaftStainless steelHard chromeg6 toleranceØ 8 mmL = 200 mm Customer wording resolved to catalog attributes. No part number in the question. Knowledge Graph · traversal 0 candidate parts Grounded answer PSSFJ8-200 **Precision linear shaft, straight (no machining).** SUS440C stainless, hard chrome, Ø8 mm g6, L=200 mm. _✓_L=200 within series range 20–800 mm _✓_All 6 constraints satisfied _✓_Provenance: spec row + graph path _✓_Linked across the graph: compatible shaft support + collar The same question, without the graph ↺ Replay What happens when the exact same query goes to a frontier model instead. Frontier LLM · no grounding LLM alone **Fluent, instant, and never checked.** The model has read the internet, not the catalog. It produces the most plausible-looking SKU, and plausible is where the risk lives. Frontier LLM · with web search Result · category landing pageResult · 400-page series PDFResult · site configurator (JavaScript, not renderable) LLM + search **Honest, but not an answer.** Search finds the right neighborhood, then hands the real work back to your customer: open the configurator, pick material, coating, tolerance, hope you clicked right. LLM alone → **"SFU8-200 or similar" · a guess**LLM + search → **a link and instructions**ReshapeX on the graph → **PSSFJ8-200 · grounded** How the graph gets built ↺ Replay A brand’s raw knowledge 0sources · datasheets · websites · APIs · manuals · support tickets · CAD · ERP Agent 01 Source Discovery Explores everything the brand has: APIs, pages, files, references → KnowledgeMap · typed source registry, provenance on every entry Agent 02 Knowledge Cartographer Samples each source, extracts what actually exists SERIESPARTMATERIALDIMENSIONTOLERANCEFITS-WITHSUPERSEDES → EntityVocabulary Agent 03 Schema Modeling Infers the graph schema from the vocabulary ✓ Human approves the proposal Agent 04 Entity Harvesting Full paginated harvest of every approved source → Writes through the Graph Construction Harness **Lean orchestrator.** Passes run context; each agent reads upstream artifacts from the knowledge store, never from chat history. Run 1 · every run enriches the KnowledgeMap Brand knowledge graph 0nodes & relationships · provenance on every one Powered by ReshapeX · KCS: Knowledge Graph · Product Database · Semantic Index APPS ## Two applications built on the layer. GRID Applications Engineering Paste a thousand-line BOM or a competitor list. GRID resolves every line against your catalog: cross-references, substitutes, price, stock. * 01Cross-reference resolution * 02Substitute & compatibility checks * 03Price and stock lookups DESK Customer Support Every request arrives with order history, pricing rules, datasheets, and a drafted answer already attached. * 01Order history & pricing rules * 02Attached datasheets * 03Drafted, citation-backed replies GRID GRID · BOM resolve Paste BOMResolvepaste-buffer.xlsx — Sheet1 #Pasted lineResolved against catalogStatus 011SFA619400R1051Pilot device · 22mm · cross-referencedIN STOCK 02MTR-PROT-9920XRMotor protection relay · 9–13 AIN STOCK 03PWR-DRV-4410Discontinued · approved substitute PWR-DRV-4415SUBSTITUTE 04FBUS-MOD-DP12Fieldbus module · PROFIBUS DP · firmware 2.4+IN STOCK 05CTL-XR-0071-BTwo catalog matches · protocol variant unconfirmedREVIEW 4 of 5 resolved · 1 flagged for review DESK DESK · Customer reply InboundFrom: buyer@midwest-oem.com Can you confirm a replacement for the drive on PO 44815? Draft replySend PWR-DRV-4415 is the approved substitute. It matches your firmware revision and ships from stock. Cited · datasheet rev 2.4, contract tier 2 Grounded context * Order history · PO 44815 * Pricing rules · contract tier 2 * Datasheet · PWR-DRV-4415 KNOWLEDGE CAPTURE ## Your experts' knowledge, captured once — answerable forever. The exceptions a twenty-year veteran keeps in their head are the first thing a model gets wrong and the first thing you lose when they retire. 1. ### Capture PDFs with merged cells, line cards with tribal footnotes, price books with a decade of exceptions — structured into a knowledge graph at build time, not guessed at query time. 2. ### Retain Drive configurations, fieldbus compatibility, firmware revisions, approved substitutes, discontinued parts: the hard-won answers stay in the layer when the person who knew them moves on. 3. ### Reuse Every agent — inside sales, applications engineering, support — answers from the same captured layer, cites the catalog line or spec page it used, and escalates when confidence is low. Continuous sync keeps the captured knowledge current as your catalog, pricing, and specs change. THE RESULTS ## What the layer changes on the ground. For OEMs & industrial distributors 60–90%Labor cost savings 2–3×More qualified leads +15–20%Average order value For system integrators, manufacturers & plant operators 50–70%Faster first response 50%Faster RFQ answers EXAMPLES ## Four agents we’ve built on the knowledge layer. SHARED INBOX ### Customer Support * Customer Support & Troubleshooting * Knowledge Capture & Reuse * Website Lead Capture * Voice-to-CRM Systems touched * Shared inbox * CRM * Knowledge bases * Web chat 90%Resolves L1/L2 faster QUOTE DESK ### Application Engineer * Multi-SKU configuration * BOM Generation * Pricing & Margin Logic * Knowledge Capture Systems touched * Product catalogs * ERP * Pricing systems * Website 3×Qualifies more leads DEAL DESK ### Sales Concierge * RFP/RFQ Intake * BOM Generation * Pricing Logic * Proposal Generation Systems touched * Email * Document storage * ERP * CRM * Teams / Copilot 80%Shortens proposal cycles FIELD OPS ### Field Operations * Industrial Systems Interaction * Real-time Monitoring * Governance & Traceability * Factory Walk Assessment Systems touched * HMIs * PLCs * Robots * Mobile devices MoreWins more per walk We build what you need, or slip under what you run. TALK TO US ## Give us your twenty hardest questions. We’ll demo on your SKUs, run your evals, and cite every answer. * Real Examples * Working Demo * Your Data Be the team that defends every answer and ships AI in months, not years. Schedule a meeting Talk to the agent first