Your product library,
searchable by AI

Prato Labs is an AI-powered document intelligence platform for B2B sales teams. Upload your spec sheets, SDSs, and product catalogs. Your reps get accurate, cited answers in seconds — not hours of digging through PDFs.

Sales Assistant — Online
Which Aditya Birla epoxy resin works best for chemical-resistant industrial flooring?
Based on your document library, the ChemRes line from Aditya Birla is designed for chemical resistance applications. For industrial flooring, ChemRes 204 offers excellent resistance to acids and solvents with a low viscosity that improves workability. Pair it with a ChemCure amine curing agent for best results.
Source: Aditya Birla ChemRes Product Guide, p.4–5
What about a reactive diluent to lower the viscosity further?
Aditya Birla's ChemMod reactive diluents are compatible with the ChemRes line. The ChemMod 314 is commonly used at 10–15% by weight to reduce viscosity without significantly affecting cure time or chemical resistance. It's listed as the recommended diluent for flooring systems.
Source: Aditya Birla ChemMod Technical Bulletin, p.2 • ChemRes Formulation Guide, p.8

Built for specification-heavy industries

Chemical Distribution Building Materials Medical Devices Industrial Supply

Your sales team wastes hours searching for answers that live in your own documents

Product specs, compatibility tables, safety data sheets, dosage charts — the answers are there. But they're buried across hundreds of PDFs that nobody can search efficiently.

30

Minutes per day, per rep

Spent searching through PDFs, binders, and spec sheets for product information before customer calls.

$15K

Per rep, per year

In lost selling time. A rep at $50/hr fully loaded, spending 30 minutes daily on manual lookups instead of selling.

0

Tools built for this

Enterprise AI platforms require 100+ seats and six-figure contracts. Your 20-person sales team doesn't have that option.

Three steps. No IT project required.

1

Upload your documents

Spec sheets, SDSs, product catalogs, compatibility matrices, technical bulletins — PDF, Word, Excel, PowerPoint. We handle the rest. Table data stays structured, not flattened into meaningless text.

2

Your team asks questions

Reps open a chat and ask in plain English. Follow-up questions carry context. "What stabilizers work above 200°C?" then "How does that compare at lower temps?" — just like talking to your best product expert.

3

Get cited answers in seconds

Every answer includes the source document and page number. When the information isn't in the library, the system says so — it doesn't guess. Your reps verify, then act.

AI sales enablement built for your industry

Retrieval

Table-aware document parsing

Compatibility matrices, dosage tables, temperature ranges — we extract structured table data with column headers preserved. General-purpose AI tools flatten tables into meaningless strings. Ours don't.

Trust

Every answer cites its source

Document name and page number on every claim. When reps verify specs before quoting a customer, they know exactly where to look. When the answer isn't in the library, the system tells them.

Accuracy

Calibrated to your catalog

Retrieval thresholds are tuned per client using your real questions against your real documents. The system is calibrated to say "I don't know" rather than hallucinate a specification that could cost you a customer.

Security

Your data stays yours

Complete tenant isolation. Your documents, your conversations, your data — fully separated from every other client at the database level. No shared environments. No cross-client leakage.

Workflow

Call report generation

Rep pastes their visit notes, the AI extracts structured details, enriches product references with real specs from your library, and generates supplier-specific call reports ready to send — with an internal summary formatted for Salesforce.

Intelligence

Usage analytics and feedback

See what your team is asking, which products get the most questions, and where your document library has gaps. Real data on adoption and time savings — not guesswork.

Purpose-built for B2B sales teams
in specification-heavy industries

If your reps sell from spec sheets, not slide decks — this is built for you.

Chemical Distribution

Stabilizers, additives, formulation guides, SDSs, compatibility matrices

Building Materials

Product specs, installation guides, load tables, fire ratings, code compliance

Medical Devices

Technical specifications, biocompatibility data, regulatory documentation

Industrial Supply

Catalogs, cross-reference tables, application guides, material certifications

Enterprise AI search, without the enterprise price tag

Enterprise Platforms DIY / ChatGPT Prato Labs
Minimum seats 100+ 1 No per-seat pricing
Annual cost (20 users) $60,000+ $500 + dev time $7,200 – $12,000
Implementation time 3–6 months Ongoing maintenance Days
IT team required Yes Yes No
Table-aware parsing Generic None Purpose-built
Source citations Sometimes No Every answer
Industry calibration No No Per-client tuning

Get Started

See it work with your documents

We'll load a sample of your product library and show you what your team would experience. No commitment, no 12-month contract required to start.

Request a Demo