ARIAby LuminOne

The reasoning layer for life sciences commercial teams

Act on the right buying moments before they slip past.

ARIA watches the market and your accounts, then prepares sourced briefs, drafts, and CRM updates for you to approve.

That is one workflow on the ARIA platform. Teams also run meeting prep, debriefs, email replies, and workflows built around their own process, all on one shared reasoning layer.

  • SourcedEvidence on every claim
  • ApprovedNothing sends on its own
  • No stack changeRuns on the systems you have
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Good accounts move before your CRM shows a task.

ARIA is built for the window between a market event and the moment a commercial team is ready to act.

Buying signals do not arrive as CRM tasks

Funding, hiring, trial movement, conference comments, policy changes, and competitor activity show up in the market first.

The buyer often has a shortlist before your team notices

A rep may eventually find the event, but the first outreach window has already passed.

Commercial leaders need evidence before they let AI act

The team needs the source, account context, recommended next step, and a clear approval path.

Account context walks out the door

The real story lives in rep notes, inboxes, calls, and individual memory, so turnover and reorgs erase useful commercial knowledge.

Typical miss

A funded program starts looking for manufacturing partners Monday. A competitor calls Tuesday. Your team finds it in next week's pipeline review.

See it work

A live deal, with the technical wedge to win it.

Your firm, your modality, your region. ARIA finds a live commercial opening, reasons the technical wedge to win it, and stages the outreach.

Reasoning trace
  1. Point ARIA at your firm and run. It finds a real recruiting program and prepares the read here, each step sourced.

Sourced where a source exists · held back where none does

Prepared readTriangulated

Prepared for your firm

Win the right programs

Point ARIA at your firm and run. A real recruiting Phase-2 sponsor, the manufacturing thesis, and your first-call question compose in right here, every claim sourced.

CDMO business development

The right programs, not more leads.

ARIA scores fresh raises, phase changes, and de-risking sponsors against your capability and open capacity, then drafts the outreach.

ARIA watches

Funding event

A target biotech raises or extends runway before your BD team knows to reach out.

Phase change

A lead program advances and the sponsor starts pressure-testing manufacturing capacity.

New CMC owner

A new technical decision-maker resets vendor preference and partner selection.

Supply-chain de-risking

A sponsor starts reducing dependence on one geography or one incumbent CDMO.

ARIA prepares

Program-fit briefCapacity-timed outreachCRM opportunity note

You approve

Every claim sourced. Nothing sends on its own.

The reasoning layer across your stack.

ARIA connects your systems and the outside market, reasons over both, and presents finished work for approval, wherever your team already works.

How the reasoning layer works: ARIA reads external market signals (such as PubMed, FDA filings, ClinicalTrials.gov, PitchBook, ZoomInfo, LinkedIn, earnings calls, and competitor web) alongside the systems you already run (CRM such as Salesforce or HubSpot, email, calendar, Gong, and Clari). It reasons over both, learning from every approval, and stages finished work for human review: account briefs, draft outreach, proposals, CRM notes, and next-action tasks, presented wherever your team already works, in Outlook, Gmail, Slack, Teams, meetings, calls, or the browser. Nothing sends until a person approves it.

External signals · any dataset

PubMedFDA filingsClinicalTrials.govPitchBookZoomInfoLinkedInEarnings callsCompetitor webGlobalData

+ licensed and your private datasets, on the systems you already run.

Reasoning layer

ARIA

↻ learns every pass

Executed work · segment-tuned

All segments

Account brief

Sourced, ready to review

All segments

Draft outreach

Science-referenced

CDMO

Proposals

with guardrails

Consumables

Standing orders

reorder follow-up

Equipment

Install-base tracking

coverage and risk

All segments

CRM update

auto-logged opportunity

Presented in Outlook, Gmail, Slack, Teams, Zoom, Meet, phone, text, or browser. Nothing sends on its own.

Why ARIA

Not a chatbot. Not another agent bolted onto one system.

Each tool is great at its own job. For catching the buying moment and preparing the work to act on it, ARIA is built for a different one.

What it does

Horizontal chat AI

CRM / platform agents

ARIA

Open-ended Q&A and content drafting
Yes
Limited
Limited
Deep automation inside one platform
No
Yes
Limited
Watches the outside market for buying moments
No
No
Yes
Knows your live accounts (CRM, email, calendar)
Limited
Yes
Yes
Reasons over the market and your accounts together
Limited
No
Yes
Prepares sourced, cited briefs and outreach
Limited
Limited
Yes
Human approval and an audit trail in the flow
No
Limited
Yes
Retains reasoning and context across staff and org changes
No
Limited
Yes
Built for life-sciences commercial teams
No
No
Yes
Yes Limited No

Categories shown for orientation. Product names are examples, not a feature-by-feature comparison.

Design partnership

Land with Sales or BD. Prove it for Commercial Ops.

One quarter, building real workflows rather than running a demonstration. ARIA catches useful work, prepares the action, shows the control path, and we measure the work created, not transformation claims.

How the quarter runs

  1. 01

    Bring your accounts

    The Sales or BD motion where missed timing matters: target accounts, territory, installed base, or partner list.

  2. 02

    Connect the systems

    Add the context ARIA needs: CRM, email, calendar, call notes, and signal sources.

  3. 03

    Review first signals

    Sales and BD review the first useful moments. Commercial Ops inspects sources, controls, and CRM fit.

  4. 04

    Approve the work

    ARIA stages drafts, briefs, updates, and next actions. Your team approves before anything goes out.

What we need a target list or territory, the systems to read, and the workflow you want proved first.·You get back missed signals, source trail, staged actions, CRM notes, and the approval path your team can inspect.

What it provesthe work the run produces, measured on your data

Partnership readout

Empty until your first workflow fills it

Useful signals surfaced

Your number

How many account-specific moments were worth a human review.

Actions approved

Your number

How many briefs, drafts, CRM notes, or tasks your team accepted.

Accounts revived

Your number

Which dormant or slipping accounts became worth re-engaging.

CRM updates created

Your number

What ARIA prepared for the system of record after approval.

Replies or meetings generated

Your number

Whether approved actions created commercial movement.

False positives rejected

Your number

What ARIA learned from signals your team dismissed.

Built for regulated life sciences buyers.

The controls are part of the product, not a slide at the end of the sales process.

Sourced and traceable

Every output keeps the evidence attached so the team can inspect the recommendation.

Human-approved

Nothing goes out without a person's yes, and every action is logged and reversible.

Permissioned access

Start with the systems and scopes needed for the first workflow. Expand only when the workflow earns trust.

Enterprise path

Designed for auditability, controlled writeback, and the security review regulated buyers expect.

Run it on your data

See what ARIA would have caught.

Bring 20 target accounts, a territory, or an installed-base list. We will return the missed signals, source trail, account readout, and prepared actions before asking you to change how your team works.

Start with zero friction. Compound from there.

No new platform, no migration, no training. Prove one workflow, then compound across motions, functions, and finally a platform you run yourself.

Runs on what you already have

Nostack change
Nomigration
Notraining

You never pick the model, either. ARIA runs every LLM and routes to the best, so every new release reaches your team automatically. Nothing to switch, no one to retrain.

01

Subscribe

Prove one motion

Signal to approved action
02

Add workflows

Pick from our library, or we build yours

Meeting IntelligenceForecastingEmail ManagementAccount PlanningYour specific workflow
03

Add functions

Expand across the commercial org

MarketingCommercial OperationsCommercial FinanceYour specific function
Where it can go

Your own ARIA platform

On your serversTrained on your data and approved workWith our team embedded
Dhruv Patwardhan, Founder of LuminOne

Dhruv Patwardhan

Founder, LuminOne

Connect on LinkedIn

Built by someone who has lived it.

I spent more than a decade in life sciences commercial roles, watching CRM miss the moment between a market signal and the work a rep needed next. ARIA is built for that gap: catch what matters, prepare the work, and leave the judgment with your team.

10+ years

Life sciences commercial work

Built for

CDMO, equipment, reagent, biotech, and consulting teams

Operating rule

Nothing goes out until a human approves it

What buyers ask before a design partnership.

What is ARIA?

ARIA is the reasoning layer for life sciences commercial teams, built by LuminOne. It watches your market and accounts, reasons over the signals, and prepares commercial work for your approval.

How is ARIA different from ChatGPT or Claude?

Those wait to be asked and know nothing about your domain. ARIA acts without being asked, is built for life sciences commercial, and shows its sources with every output staged for your approval.

Does ARIA send things on its own?

No. ARIA prepares the work and a person approves it before anything goes out. Every action is logged and reversible.

What systems does ARIA work with?

ARIA connects across the commercial, collaboration, and data systems your team already uses, including your CRM, email, and calendar.

Is my data secure?

We do not train or fine tune our models on your data. If you ask for a customer specific fine tuned model, we build it using only your data, and it is used only for you. Each customer's data is firewalled so no one else can see it. Your data is stored in your own country, which today means the United States. You stay in control: ARIA reads only the systems you grant, writes back only after you approve, and every action is logged and reversible.

What happens when people leave or the org changes?

It stays with the company, not in someone's head or inbox. ARIA keeps what it caught, why it mattered, and the work your team approved. So turnover, M&A, and territory changes don't erase it.

Who is ARIA for?

Life sciences commercial teams: CDMOs, bioprocessing equipment and consumables makers, reagent suppliers, and life sciences consultants. The first user is usually Sales or BD, with Commercial Ops involved where controls, data, and workflow ownership matter.

Put ARIA on your accounts.

One workflow, your systems, your team's approval. Book a short walkthrough and see your first pass.