AI agents for industrial sales & support
Sell more.Answer faster.Add capacity,not headcount.
Virtual inside sales, apps engineering & support for OEMs, distributors & manufacturers.
Two ways teams put agents to work
Cut the busywork. Capture the revenue.
Add capacity, not headcount.
Virtual inside sales, applications engineering, and customer support handle the repetitive part-number lookups, cross-references, stock checks, and quotes — so your team spends its hours on the accounts and problems that need a person.
- Inside sales
- Applications engineering
- Customer support
Turn inbound into quotes, faster.
Put the agent on your website and in your inbox. It answers buyers the moment they ask — cross-references, approved substitutes, stock, pricing — grounded in your catalog, and hands your team a ready-to-price opportunity instead of a lead gone cold overnight.
- On your website
- In your inbox
- Grounded in your catalog
From the field
The proof is alreadyin production.
Case study · Novanta
How Novanta gave every customertheir own application engineer.
Read the case study- 400+
- Sessions, 100% accurate
- 24/7
- Always on, in production
- 7
- Languages from launch
- 8M+
- Valid configurations
- NOVT
- Novanta · NASDAQ
WHAT GOES WRONG
Hallucinations aren't a bug in the model. They're how LLMs work.
Drive configurations, fieldbus compatibility, firmware revisions, approved substitutes: your team lives in the exceptions. A model trained to sound fluent will miss the edge first.
Our agents answer from your catalog and your equipment docs, and they cite the source, never the open internet.
Read why hallucinations aren't a bug to patch →WITHOUT THE LAYER
General AI vs. ReshapeX
A confident wrong answer costs more than no answer.
If 3RV2031-4BA10 is unavailable, what is the approved substitute that preserves Class 10, A-release 14…20 A, N-release 260 A, and screw terminals?
Generic AI
3RV2031-4BA15 is a direct drop-in replacement: identical ratings, same approvals, no changes needed.
⚠ Hallucinated: a plausible MLFB with the wrong release range, stated with full confidence and no citation.
- Guesses on industrial product specifics (drives, fieldbus modules).
- Hallucinates part numbers, and your customers notice.
- Requires manual verification of every claim.
- Your application engineer reverts to spreadsheets.
- Rolls back by attrition as users lose trust.
ReshapeX
Recommended substitute MLFB: 3RV2032-4BA10. Preserves Class 10, A-release 14…20 A, N-release 260 A, and screw terminals; UL/CSA approvals unchanged.
✓ Grounded: verified against your catalog before it reaches a customer.
- Grounded in your real catalog and pricing rules.
- Quotes with verified line-card accuracy in seconds.
- Every answer cites the exact SKU, page, and rule.
- Confidence thresholds route edge cases to human experts.
- 99.9% measured accuracy on your actual data.
The 99.9 proof
Accuracy on your own catalog
99.9%
Not a benchmark. Evals from your real inbound and RFPs; answers that fail never reach a customer.
- Knowledge base
- Tool harness
- Evals
- Continuous sync
Standard AI ceilings ~80%. Grounded layer + harness + evals = the other 19.9%. *Conservative US-only model anchored on a major industrial OEM's service revenue base; global ceiling scales to $4M+ per deployment.
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.
From raw inputs through structure and human review to a published grounding layer and ongoing sync, then the agents we build, you build, or you already run, all on one foundation.
Bring it in
ERP, PIM, PDFs, the web, and the people who hold tribal knowledge: everything that should inform an answer.
Shape the graph
Compatibility, substitutes, drive configurations, firmware lines: the messy catalog story becomes structured truth before a customer asks.
Review with experts
When sources disagree, your team decides what wins: no silent rewrites, no mystery updates.
Publish the layer
The picture of your line card agents actually query: stable, sourced, ready for the tool harness on every turn.
Keep it current
Taxonomy, pricing, and stock refresh on the cadence your business needs, so yesterday's truth does not become tomorrow's mistake.
DOWNSTREAM
Agents we build
Support, quoting, apps engineering, ops: same grounded foundation, tuned to how you work.
Agents you build
You steer prompts and workflows; the knowledge grounding layer stays the single source of truth.
Agents you already run
Beneath the copilots you already use, so reps get catalog-backed answers instead of confident guesses.
USE CASES IN PRODUCTION
USE CASES IN PRODUCTION
Real questions. Grounded answers. Sourced.
Bring your own agents.
You already use Copilot, Claude, ChatGPT Enterprise, or your own AI team's agents. We expose ReshapeX as an MCP server. Your agents call it. Accuracy jumps from a generic-AI ceiling to 99.9% on your catalog.
- CPMicrosoft Copilot
- CLClaude
- GPTChatGPT Enterprise
- +Your custom agents
- Your team owns the agent layer
- ReshapeX exposed as a typed MCP server
- Knowledge layer maintained by us, continuously
- Live in weeks · no migration
We build the agents.
You don't have an AI team, or you want the full solution. Our forward-deployed engineers embed with your senior team and ship production agents: RFP→BOM, Quote, Support, Substitute, running on the same grounded knowledge layer.
- RFP → BOM Agent
- Quote Agent
- Support Agent
- Substitute Agent
- Forward-deployed engineer on site
- Production agents in your stack, your domains
- Built once, owned by you
- Same 99.9% measured accuracy
SAME FOUNDATION, EITHER WAY
The ReshapeX product knowledge layer
Your catalog · compatibility rules · approved substitutes · datasheets · proposal archive · pricing tiers
TRUST & GOVERNANCE
Built for regulated workflows and skeptical operators.
Your data stays yours. Every answer is sourced. Every high-stakes call routes to a human.
Data permissions
Role-based access. VPC deployment available. No training on your catalog. No cross-customer data.
Logging & auditability
Every query, source, and output logged. Exportable to your SIEM.
Human approvals
Confidence thresholds you set. Below threshold, the answer routes to your expert, not guessed.
System integration
Read-access, minimum-privilege connectors. Never elevates beyond what you grant.
IN THEIR WORDS
Real work, real results.
Most industrial AI projects plateau around 80% accuracy — close enough to demo, not close enough to trust. The engineers and operators in these stories chose a different path: knowledge grounding built at build time, not query time.
Their agents don't hedge. They cite firmware revisions, fieldbus compatibility charts, and approved substitutes. That's not a lucky run. That's what happens when the graph is right.
Read all case studies →From the Field
What practitioners say
TALK TO US
Give us your twenty hardest questions.
We'll demo on your SKUs, run your evals, and show citations for every answer.
- Real Examples
- Working Demo
- Your Data
Be the team that defends every answer and ships AI in months, not years.