Proposal intelligence for pharma CDMO / CRO teams

RFQ in today.
Proposal out tomorrow.

One system carries a synthesis route through costing, five departmental reviews and a finished proposal. What took three weeks of senior chemist and estimator time now takes an afternoon.

Chemistry-native · Deterministic costing · Your chemistry never trains any model

How a bid runs, and where Vonera sits
Customer RFQ VONERA 01BD collection 02Proposal management 03R&D AI table generation Reaction schemes Parallel department review Manufacturing Quality Supply chain EHS 04R&D approval 05Proposal management Proposal generation AI evaluation 06Upper management review Client-ready proposal
Today

Five departments hold five pieces of one number

3–4 WEEKS END TO END Customer RFQ BD collection R&D scoping Manufacturing Quality Supply chain EHS Sign-off Quote sent .XLSX .XLSX .XLSX .XLSX .XLSX .XLSX .XLSX ONE CORRECTION AND THE CHAIN STARTS AGAIN
01

Nothing runs in parallel

Every stage waits for the one before it to finish. Five departments, one queue, three to four weeks.

02

One correction restarts it

A changed number sends the bid back to the first department, not to the stage that changed it.

03

It all lives in spreadsheets

No searchable record of past bids, no analytics across them, and no way to show how a number was reached.

So we put the entire path onto one system. Here is what happens to that RFQ instead.

The workflow

One RFQ, start to finish

  1. 01

    RFQ intake

    Paste the synthesis as text or upload the customer’s PDF.

  2. 02

    Technical evaluation

    The system reads how the route is put together and draws the reaction scheme and stage map.

  3. 03

    Cost estimation

    Each stage is mapped to a real vessel from your own equipment fleet.

  4. 04

    Pricing

    Quantity tiers are priced together so economy of scale is visible in a single view.

  5. 05

    Proposal generation

    A multi-section document is drafted from the work already completed.

  6. 06

    Concerns and discussion

    Every proposal carries its own thread, anchored to the figure in dispute.

  7. 07

    Approval and submission

    Five functions work the same live proposal simultaneously under dual approval.

Generating the R&D master table from a pasted synthesis
Reaction scheme and stages extracted from the route
Plant and manufacturing modelling
The deterministic costing engine
A generated client-ready proposal
The Concern Center — concerns and discussion across proposals
Departments reviewing one live proposal
01 · RFQ intake

Paste the synthesis as text or upload the customer’s PDF. Every stage, reagent and quantity is extracted into a structured table, with CAS numbers, molecular weights and structures resolved against public chemical references, so the table begins from verified identity rather than transcription.

02 · Technical evaluation

The system reads how the route is put together, including branches that join further down, and draws the reaction scheme and stage map. Past projects sharing the same chemistry surface automatically, so a route your team has already run is recognised as such before anyone re-derives it.

03 · Cost estimation

Each stage is mapped to a real vessel from your own equipment list, chosen to suit what the reaction actually does and sized on the volume it needs rather than on mass alone. Equipment time, utilities, waste handling and cleaning are costed per batch against your rate card.

04 · Pricing

Quantity tiers are priced together so economy of scale is visible in a single view, with margin computed against your target at every tier. Order-of-magnitude checks catch a milligram entered where a kilogram was meant, at the point of entry rather than at the review meeting.

05 · Proposal generation

A multi-section document is drafted from the work already completed, phase-appropriate to where the client sits, in your templates and branding, with the costing narrative consistent with the numbers behind it.

06 · Concerns and discussion

Every proposal carries its own thread, anchored to the specific field or figure in dispute, so a challenge to a yield assumption is raised, answered and closed against that yield rather than in a mail chain that ends when someone stops replying.

07 · Approval and submission

R&D, manufacturing, quality, supply chain and EHS work the same live proposal simultaneously under dual approval, with turnaround visible per department, and the finished document exports to PDF or Word in a single action.

Compounding advantage

The more you quote, the sharper it gets

Three capabilities that feed on the proposal history you build.

Structure search
01 · Structure search

Search the archive by molecule

Draw a structure and retrieve every past proposal containing it, then reuse a route or a price you have already defended in front of a client. The value compounds: the hundredth quote is built on ninety-nine defensible precedents rather than on memory.

Company-wide analytics
02 · Company-wide analytics

See the whole pipeline at once

Win rate, turnaround and cost drivers, company-wide and department by department, with the bottleneck visible in the quarter it occurs rather than in the post-mortem that follows it.

Bespoke assistant
03 · Bespoke assistant

An assistant that knows your company

Ask in plain English — “where have we used palladium?” — and receive answers drawn from your own proposals and history, each one citing the source it came from.

01 / 03
Governance & IP

Your molecules stay yours

Infrastructure
Enterprise AWS with row-level isolation between tenants.
Model training
Your data is never used to train any model, by us or by any provider.
Access control
Role-scoped to each user’s function.
Encryption
Applied in transit and at rest. We cannot see your data unless you authorise it.
Auditability
Full version history and activity trail on every revision.
Export
Every proposal and all your data downloadable to Excel at any time, so you always hold your own backup.

Four places the AI does the work

01 · R&D

AI table generation and reaction schemes

Paste the route and the R&D table is generated for you, with the reaction schemes drawn alongside it.

02 · Manufacturing

Reactor and production mapping

Reactors and production steps are mapped by the AI against your own plant, rather than assigned by hand.

03 · Proposal generation

Written in your style, in your document

The proposal is generated to match your house writing style and downloads as your own branded document.

04 · Evaluation

A 30-test suite on every finished proposal

Once the proposal is final, the AI runs a 30-test evaluation across it before it goes anywhere near a client.

Against the way it works today

The same bid, run two ways

Traditional processWith Vonera
Route captureRe-typed by hand into a templateParsed from the customer’s own document
Chemical identityLooked up individually, or assumedResolved and verified automatically
Stage quantitiesScaled manually, stage by stageDerived from the yield at each stage
EquipmentAssigned from memory or habitMatched to your fleet on chemistry and volume
CostingA spreadsheet per estimatorOne deterministic engine, fully traceable
Departmental reviewSequential, by emailConcurrent, on one live document
Prior workWhoever remembers itSearchable by drawn structure

Which turns into capacity you can measure.

What it is worth

Modelled on your volume

At 20 bids a month, this is what a desk gets back. Bring your own volume to the call and we will run your numbers live.

~₹6 lakh of senior capacity returned each month

As chemist and estimator hours move from transcription to quoting.

RFP throughput at unchanged headcount
~₹30,000per bid, as a 30–40 hour proposal becomes a 4–8 hour one
~3 wksto payback, reached on the first proposal the system saves

Bring a live bid. We will cost it on the call.

Send a route you are quoting now and we will run it through Vonera while you watch, then model the return against your real bid volume rather than a benchmark. Pricing is scoped to the size of your bid desk, so we quote it properly instead of listing a number that fits no one.