Tolerra.AI reads inbound RFQs, customer drawings and specs, matches materials and models labour — then returns a priced, defensible quote in 42 minutes against a 132-minute manual baseline, with cost variance and risk banded on every line.
Trusted across discrete manufacturing
Tolerra.AI parses the RFQ, takes off the drawing, matches materials and models labour — then shows the cycle time, the quoted value, the cost variance and the review queue for every quote in flight.
AI Estimator Insight — The model scored quote operations 92/100, flagged 18 quotes carrying $153K of exposure across three risk bands, and expects material price volatility to add 0.4 pts of cost variance next week.
Four buckets run off one structured record. What arrives as an email, a portal upload or a dealer PDF is classified, triaged and configured once — then priced, reviewed and tracked without anyone re-keying the scope.
Intake Quoting AssistantThe work queue splits the inbound load into New (14), Needs Scope (12) and Needs Files (8), each filterable by status, priority, owner, customer, product type, due date, risk level, completeness and source. Bulk assign, change status, set priority and export act on whole selections — so nothing waits on a missing drawing before it reaches an estimator.
Parses the RFQ, takes off the drawing, matches material and models labour in a 42-minute automated run against a 132-minute manual baseline. Every quote carries its cycle time, quoted value, cost variance and approval likelihood.
42 MIN RUN · 132 MIN MANUAL · 68% FASTER
Pulls drawings, specs and customer PDFs in from email, portal, dealer and direct upload, classifies them on arrival, and flags the intakes still missing files before an estimator picks them up.
EMAIL · PORTAL · DEALER · UPLOAD
Scores each inbound inquiry for risk band and completeness, then routes it: ready to estimate, needs scope, needs files, on hold or declined — so the queue is ordered by what is actually workable.
RISK BAND · COMPLETENESS · ROUTING
Resolves product type, options and specification variants into a configuration an estimator can price, so seating, casegoods, tables, millwork and upholstery all quote off one structured record.
SEATING · CASEGOODS · TABLES · MILLWORK
Email, customer portal, dealer or direct upload. Tolerra.AI classifies the drawings and specs and opens an intake record — and it flags the 8 intakes still missing files before an estimator ever opens one.
RFQ parse 6 min, drawing takeoff 14 min, material match 9 min, labour model 8 min, assumption review 5 min: a 42-minute automated run against a 132-minute manual baseline. 68% faster, every step forecast.
18 quotes land in the anomaly review queue across high, medium and low risk bands, carrying $153K of exposure. Clear those and the quote goes out with its cost variance and approval likelihood attached.
Tolerra.AI is designed around the regulations and standards that govern furniture and furnishings manufacturing — here is what every quote it produces is held to, out of the box.
Composite-wood panels must be certified and labeled within formaldehyde emission caps.
Open-flame and smoulder resistance for upholstered furniture.
Mandatory federal stability standard for clothing-storage units since 2023.
Durability, safety and structural test standards; the contract-furniture buying benchmark.
Connected field kit that pairs with Tolerra.AI — each device streams its readings straight into the intake, spec and configuration modules that turn them into a priced quote.
A Bluetooth laser distance and area scanner for on-site takeoffs. It streams every span and opening straight to your Design Configuration dashboard, so each spec is priced off measured reality, not a re-typed note.
A wireless RFID and barcode reader for the receiving dock. It scans incoming lots and syncs stock counts and material IDs to your Material Planning dashboard the moment they land.
A wireless timber-moisture probe for incoming-stock QC. It streams each species-corrected reading to your Document Intake dashboard, flagging any board outside spec before it reaches an estimate.
Flat platform pricing — no per-seat maths, no estimator tiers to decode. Every RFQ that lands is parsed, matched, costed and risk-banded on the same licence.
Full access to automated quote generation, document intake, inquiry triage and design configuration — priced per plant, not per estimator.
Know moreA one-time setup that gets your quoting line live before your first monthly cycle — we wire in your RFQ intake channels, load your material and labour rate library, and calibrate Tolerra.AI’s drawing takeoff and costing model against your own past quotes, so the first RFQ that lands comes back priced and risk-banded. Each fee below is a starting point: the final onboarding is scoped once we understand your environment, security needs, integrations, data volume, compliance requirements and deployment model.
Everything in Essential, plus:
Everything in Plus, plus:
Runs in Nestack’s managed cloud — the fastest way to start. We stand up your workspace, RFQ intake and costing model, and you are quoting on the same platform without provisioning any infrastructure of your own.
The same platform deployed inside your own infrastructure — your cloud / VPC or on-prem — for teams that keep drawings, cost models, margins and quote history in-house. The monthly subscription stays the same; your data never leaves your environment.
How Tolerra.AI takes an inbound RFQ from drawings and specs to a priced quote — the runtime, the variance, and the small share an estimator still touches.
See the platformTolerra.AI reads the inbound RFQ along with the customer drawings and specs, takes the quantities off the drawing, matches materials, and models labour. What comes back is a priced, defensible quote carrying its own cycle time, cost variance and approval likelihood — on the reference run, a 42-minute quote cycle, $545K quoted value at 94% confidence, and 2.8% cost variance.
42 minutes, automated, against a 132-minute manual baseline — 68% faster. The run breaks down as RFQ parse 6 min, drawing takeoff 14 min, material match 9 min, labour model 8 min and assumption review 5 min, and the cycle-time watch holds it on track against a sub-45-minute target.
However they already arrive: email, the customer portal, dealer submissions, direct upload and sales. The intake queue triages 56 live intakes into new, needs scope, needs files, ready to estimate, estimating, on hold and declined — 14 new, 12 needing scope and 8 waiting on files on the reference board — with filters for status, priority, owner, customer, product type, due date, risk level, completeness and source.
Cost variance is tracked at 2.8% against a sub-3% target, running −0.6 pts predicted versus actual. Accuracy is measured rather than asserted: every quote carries its own confidence score, and estimation accuracy sits as a standing row in the operations monitor.
Yes — but only the quotes that need it. The anomaly review queue holds 18 quotes sorted into risk bands (7 high at an average score of 86 and $99K exposure, 8 medium, 3 low) carrying $153K of exposure in total. Everything outside those bands clears automatically.
Document intake, inquiry triage, design configuration, proposal generation, material planning and scheduling optimization all run off the same quote record, so the numbers that priced the job are the numbers that plan it.
Yes. Book a demo and we run Tolerra.AI on an RFQ you choose — your drawings, your specs, your materials — so you see the quote it returns before you commit to anything.
Tell us who you are, pick what you want to see, then take a time — we’ll run Tolerra.AI against an RFQ that matters to you.
Takes a few seconds — so we arrive ready for your estimating team.
