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QuickBid’s own AI modelPowering every QuickBid product

QuickCore AIThe tender intelligence AI model for RFP analysis, bid preparation and bid evaluation

Trained in-house by QuickBid Systems to read Indian tender documents the way your best bid manager and evaluation committee do. One AI model, built for the tendering ecosystem.

  • RFP understanding & analysis
  • Bid preparation methodology
  • Bid evaluation
See what it does
Model
Our own AI model
Domain
Tenders & public procurement
Built by
QuickBid Systems
Runs in
Every QuickBid product
What is QuickCore AI?

A tender intelligence AI model, trained for one domain: Indian tenders

QuickCore AI is QuickBid Systems’ own AI model for the tendering ecosystem. Trained in-house on Indian tender documents and tasks, it understands RFPs, plans bid preparation and evaluates submitted bids, and it is the AI model that powers every QuickBid product for bidders and government buyers.

ModelOur own AI model

Trained in-house by QuickBid Systems

DomainTenders & public procurement

GeM, CPPP, state portals and PSU tenders

Built byQuickBid Systems

Built in Lucknow, India

Runs inEvery QuickBid product

For bidders, OEMs and government buyers

What QuickCore AI does

AI for RFP analysis, bid preparation and bid evaluation

Three jobs across the tender lifecycle: understanding what a tender asks for, planning how to bid, and checking submitted bids against the tender.

“What does this tender actually ask for?”

RFP understanding and analysis

QuickCore AI reads the full tender pack the way an experienced bid manager does: the NIT, RFP, BOQ, technical specifications, special conditions and every corrigendum, and turns it into structured, cited facts.

Reads

  • NIT and RFP
  • BOQ and price schedules
  • Technical specifications
  • Corrigenda and pre-bid replies

Produces

  • Eligibility and pre-qualification criteria
  • Key dates, EMD, PBG and payment terms
  • Scope, deliverables and penalty clauses
  • Risks and unusual conditions, with page references
“How should we prepare this bid?”

Bid preparation methodology

From the analysed tender, the model drafts a bid preparation plan: a bid / no-bid view against your company profile, a document checklist, compliance and deviation statements, and a technical approach your team edits.

Reads

  • Analysed tender requirements
  • Your company profile and past work
  • Certificates and financials on file

Produces

  • Bid / no-bid assessment with reasons
  • Document checklist mapped to each criterion
  • Compliance and deviation statements
  • Technical approach and methodology drafts
“Which bids meet the tender, and why?”

Bid evaluation

For buyers, QuickCore AI checks every submitted bid against the tender, requirement by requirement: eligibility, documents, technical compliance and price, so the evaluation committee starts from evidence instead of a blank sheet.

Reads

  • The tender and its evaluation method
  • Each bidder’s technical and financial bid
  • Supporting certificates and documents

Produces

  • Requirement-level compliance for each bidder
  • Shortfalls, deviations and clarification points
  • Comparative statements (L1, QCBS, LCS and more)
  • Draft evaluation notes for the committee
How it is built

Our own AI model, trained in-house and checked by tender experts

QuickBid Systems trains QuickCore AI on tender work, step by step, with the people who prepare and evaluate bids.

  1. 01
    Curate tender knowledge

    Public tender documents, corrigenda, BOQs and evaluation formats from Indian procurement, gathered across GeM, CPPP, state portals and PSU tenders.

  2. 02
    Label it with tender experts

    People who prepare and evaluate bids mark up criteria, clauses, risks and evaluation outcomes, so the model learns how tender work is really done.

  3. 03
    Train for three jobs

    QuickCore AI is trained in-house for RFP understanding and analysis, bid preparation methodology and bid evaluation.

  4. 04
    Evaluate with domain experts

    Outputs are scored by tender specialists against real tender tasks: correct criteria, correct citations and no invented requirements.

  5. 05
    Deploy inside QuickBid products

    The model is served as part of QuickBid products, and in a dedicated cloud or on-premise set-up where an organisation needs it.

Inside QuickBid products

The AI model behind every QuickBid product

One model, trained once on tenders, running in each product for bidders, OEMs and government buyers.

For Bidders

QuickBid

RFP analysis, eligibility checks and bid preparation across the tender workflow

Explore QuickBid For Bidders

QuickLens

Reading GeM bid results and competitor history into usable intelligence

Explore QuickLens For Bidders

QuickManpower

Understanding GeM manpower tenders and preparing submission-ready annexures

Explore QuickManpower For OEMs

QuickOEM

Matching tender specifications to OEM products and channel partners

Explore QuickOEM For Bidders

QuickTakeoff

Linking drawings and BOQs to quantities and specifications

Explore QuickTakeoff For Buyers

QuickProcure

Tender drafting and requirement-level technical and financial bid evaluation

Explore QuickProcure

One model across the tendering ecosystem: every improvement to QuickCore AI reaches every QuickBid product.

Why a domain AI model

Why a tender-trained model beats a general-purpose LLM for tenders

General AI models know a little about everything. Tender work needs a model that knows one thing deeply and shows its working.

01

Speaks the language of Indian tenders

NIT, BOQ, EMD, PBG, QCBS, L1, MSE preference, Make in India and corrigenda are its everyday vocabulary, not edge cases.

02

Every answer points to its source

Findings cite the clause, page or bidder document they came from, so a bid manager or evaluator can check them in seconds.

03

Your data stays in your environment

Because QuickCore AI is our own model, it can run in a dedicated cloud or on-premise, so sensitive tender and bid documents need not leave infrastructure you approve.

04

Consistent, structured outputs

Checklists, compliance tables and comparative statements in the same format every time, ready for your templates and approvals.

05

Efficient to run at scale

A model sized and tuned for one domain can process large tender packs quickly and at a predictable cost.

06

Built in India, for Indian procurement

Developed by QuickBid Systems, Lucknow, for GeM, CPPP, state e-procurement portals and PSU tenders.

Responsible AI

AI that assists. People who decide.

Tenders carry legal and financial weight, so QuickCore AI is built to be checked, not trusted blindly.

01

People decide

QuickCore AI suggests; bid managers and evaluation committees decide. Nothing is submitted or awarded by the model.

02

Evidence, not guesses

Where a document does not answer a question, the model says so instead of filling the gap.

03

Customer data kept separate

Customer tender and bid files are not used to train QuickCore AI without the customer’s written consent.

04

Secure deployment

Dedicated cloud or on-premise deployment, role-based access and a full record of activity.

Who it's for

Tender intelligence for bidders, buyers and partners

Whichever side of the tender you are on, QuickCore AI reads it the same careful way.

Bidders, EPCs and MSMEs

Find, qualify and prepare tenders faster on GeM, CPPP and state portals, through QuickBid, QuickLens, QuickManpower and QuickTakeoff.

Government departments and PSUs

Draft tenders and evaluate bids with structure and an audit trail, through QuickProcure.

OEMs, integrators and partners

Tender intelligence for OEMs through QuickOEM, and QuickCore AI for partners building solutions for public procurement.

See it in action

See QuickCore AI on your own tenders

Bring a recent tender. We'll show how QuickCore AI reads it, plans the bid or evaluates the submissions, inside the QuickBid product that fits your team.

Tell us how you work with tenders today. We can arrange:

  • Run QuickCore AI on one of your own tenders
  • A walkthrough of RFP analysis, bid preparation or bid evaluation
  • Dedicated cloud and on-premise deployment options
Call us at:
+91 9112567888
Email us:
support@quickbid.co.in

Book a QuickCore AI demo

Share your organisation and a recent tender, and we'll set up a session within one business day.

Email the QuickCore team
FAQ

Common questions

Common questions about QuickCore AI, QuickBid's own tender intelligence AI model.

Still have questions?Let’s talk.

If you didn’t find the answer you need, our team is here to help. We’ll discuss your goals, answer your questions, and help you identify the right next step for your business.

Book a demo
QuickCore AI

QuickCore AI is QuickBid Systems’ own AI model for the tendering ecosystem. Trained in-house on Indian tender documents and tasks, it understands RFPs, plans bid preparation and evaluates submitted bids, and it is the AI model that powers every QuickBid product for bidders and government buyers.

QuickCore AI is built and trained in-house by QuickBid Systems, Lucknow, on tender and procurement tasks: RFP understanding and analysis, bid preparation methodology and bid evaluation. It is QuickBid’s own AI model and the only one our products use.

General models know a little about everything. QuickCore AI is trained for one domain, Indian tenders, so it reads NITs, BOQs and corrigenda in context, cites the clause behind every finding, returns the same structured formats every time, and can run in a dedicated cloud or on-premise because it is our own model.

Yes. For buyers it checks each bid against the tender requirement by requirement, covering eligibility, documents, technical compliance and price, and flags shortfalls and deviations with evidence. The evaluation committee reviews every finding and makes the decision.

Yes. It analyses the tender, gives a bid / no-bid view against your profile, builds a document checklist mapped to each criterion, and drafts compliance statements and the technical methodology for your team to finalise.

QuickCore AI is the AI model behind QuickBid, QuickLens, QuickManpower, QuickOEM, QuickTakeoff and QuickProcure. Every QuickBid product runs on it, so you get one model trained for tenders across the whole tendering ecosystem.

No, not without your written consent. QuickCore AI is trained on curated public procurement documents and expert-labelled tasks. Customer tender and bid files are kept separate from training data.

Yes. Because QuickCore AI is our own model, it can be deployed in a dedicated cloud account or on your own infrastructure for organisations that must keep tender data in-house.

QuickCore AI comes built into every QuickBid product. Book a demo on this page and we will run it on one of your own tenders, then recommend the products and deployment that fit your team.

See all FAQs