Research and life sciences.
One data integrity finding and the plant's exports stop.
Where we would start: Audit-ready records. Every batch record, lab result, change and approval logged with who, when and why, so an inspector can follow any result back to its source.
The literature brief arrives with every claim linked to its paper and page.
Safe to say yes, in writing.
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“I'll pay and nothing will work.”It has to pass on your old work before it touches today's.20 of your past jobs, then live18 of 20 approved without changesFive working days of approved live workYour sponsor's written yes
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“The price will creep.”One fixed price, in writing, before any work.Your proposalThe plan: one priceEach build: one priceThe run: a monthly fee
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“I'll be locked in.”Stop any month and keep everything.JanFebMarAprstopMayJunThe month you stop, you keepEvery account, in your company's nameEvery line of codePlain files and a runbook
Your week, as it runs today.
Research labs, contract research and manufacturing firms and life science companies earn from grants, contracts, products or licences, so value comes from faster, reproducible work and records a regulator trusts. The work is reading the literature, running experiments, keeping records to audit standards, writing reports and grant proposals and answering inspectors, and US investigators report spending 44.3% of their research time on administration (Federal Demonstration Partnership, 2018).
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01
A researcher spends Monday reading forty new papers for one question.
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02
The lab notebook is on paper, and the procedure changed last month.
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03
A deviation report takes two days to write up.
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04
A grant deadline lands in the same week as an audit.
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05
Results from three instruments sit in three formats.
What it costs.
A study, 2025One data integrity finding and the plant's exports stop.
And the rest of the week
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A study
We can't keep up with the literature.
PubMed added 1,567,478 citations in the US fiscal year 2023, about 4,300 a day (US National Library of Medicine).
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A study, 2018
Our scientists spend almost half their research time on paperwork.
US investigators spent 44.3% of their research time on obtaining and managing federally funded research, up from 42.3% in 2006 and 2012 (Federal Demonstration Partnership Faculty Workload Survey, 2018).
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A study, 2016
We lose months on results we can't reproduce.
More than 70% of 1,576 researchers had tried and failed to reproduce another scientist's experiment, and more than half had failed to reproduce their own (Nature survey, 2016).
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No number yet
Nobody can find the latest approved procedure.
No figure we can stand behind yet, so we print none.
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A study, 2025
Staff paste unpublished data into public AI tools.
77% of staff who use AI tools paste data into them, and 82% of those pastes come from personal accounts the company can't see (LayerX, October 2025). In India the average data breach cost Rs 22 crore in 2025, and unapproved AI use added about Rs 1.8 crore to it (IBM Cost of a Data Breach, India, 2025).
Ten systems for life sciences, under the six offers.
We plan the whole company, then build the first three. The usual first build here is marked, and the window beside the cards shows the one you are reading.
Stay in controlYour staff already use AI. Your files go with them.
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The usual first buildTrust
Audit-ready records
Every batch record, lab result, change and approval logged with who, when and why, so an inspector can follow any result back to its source.
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Models
Private models on your servers
Models that run on your own servers, so unpublished data and formulas never leave your control.
Win customersLeads wait until Monday. The buyer doesn't.
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Growth
Grant drafts
Grant proposals drafted from your publications, early data and the funder's rules, for the investigator to edit.
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Apps
Sponsor portal
Sponsors see study progress, documents and reports in one place, without a chain of mails.
Get the work doneEverything comes to you. Most of it shouldn't.
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Documents
Deviation and report drafts
Deviation, investigation and study reports drafted from batch records, logs and data, for quality to review and sign.
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Voice
Hands-free lab notes
Scientists speak their observations at the bench, and the notes land in the record with time and sample attached.
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Operations
Lab bookings and stock
Instrument bookings, reagent stock and expiry dates in one place, with reorders drafted before anything runs out.
Know your companyOnly one person knows how pricing works.
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Agents
Literature brief
Reads the papers on a question and summarises what is known and what isn't, with every claim linked to its paper and page.
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Knowledge
Procedure search
Approved procedures searchable in plain words, with only the current version shown and every change recorded.
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Intelligence
Instrument data in one place
Results from every instrument collected with their details attached, checked and charted.
The same week, with them running.
The five moments from the top of this page, once the first systems do their part. Flip back to see how it runs today.
An example week. It shows how the work changes, never a measured result from a client.
- 01
The literature brief arrives with every claim linked to its paper and page.
- 02
Approved procedures are searchable, and the current version is the only one anyone sees.
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Deviation reports are drafted from the batch record and logs for quality to review.
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The grant draft is built from your publications and early data.
- 05
Instrument data lands in one place with its details attached.
- 01
A researcher spends Monday reading forty new papers for one question.
- 02
The lab notebook is on paper, and the procedure changed last month.
- 03
A deviation report takes two days to write up.
- 04
A grant deadline lands in the same week as an audit.
- 05
Results from three instruments sit in three formats.
The nearest work we have built.
Each piece names the kind of company it was built for. None of them is in your trade yet, and we say so. Ask to see it running.
- Relocation and global mobility · Agents An AI agent in the team chat An AI agent sits in the team's group chat, answers from the company's own knowledge and takes on requests. Built for a relocation company with teams across India. Built
- Sales · Sales and growth engines Lead research that cannot send It finds the right people at a target company from its own public pages and filings, records the source of every field, and it cannot send a single email. Built for the sales team of a relocation company in India. Built
- Events and conferences · Apps and portals Conference apps in two languages Delegates carry the whole day on their phone, in Japanese or English at a tap: every session, live captions, and a written recap of every session the same day. Built for an industry body in Asia Pacific, for its leadership meetings. Live
Signs it is time.
- Literature reviews are done by hand.
- Records live in paper notebooks or scattered files.
- An audit or inspection is coming.
- Grant deadlines cluster in the same months.
- Researchers use public AI on unpublished data.
Who decides.
In a contract development and manufacturing firm or an API maker, the head of quality or operations; in a research lab, the lab director; in a university, the principal investigator with the research office.
Why this time is different.
AI that was bought and changed nothing.
A tool was bought and nobody owned the job. We take the whole job, test it on your past work, and stay to run it.
What lab heads ask first.
Does it generate scientific findings?
No. It finds, cites, searches and cleans. Interpretation, validity and anything clinical stay with your scientists. Nothing it writes is a result until a researcher has checked the sources.
Can it run without our data leaving the institution?
Yes. The agents and models can run on a machine inside your network, and the databases it searches are the ones you already subscribe to, under your access.
Will it hallucinate citations?
Every citation it gives links to the paper and the sentence it drew from, and a claim without a source is listed as not found rather than filled in. Your researcher opens the links.
Who says yes before anything goes out?
The person who owns that job at your company today. You name them when we write the rules with you. Inside those rules the agent acts at once. Anything outside them waits for one tap from the person named, on their phone, ready to approve or to change.
Do we have to change the software we use?
No. We build around the systems you already run, in accounts in your company's name, and we confirm each one before we start.
What does it cost?
There is no price on this page, because it depends on the work. After the session you get a written proposal with the scope, the test it has to pass, who works on it and one fixed price, before any work.
Your staff already use AI. Your files go with them.
Give them a private AI that runs on your own servers, with your rules deciding what it may do alone and every step on record.
What changes. Your files stay inside, your rules decide what AI may do alone, and every step is on record.
What we measure, before and after. Company files pasted into public AI tools, filings and renewals first seen late and AI actions with no record.
The old way keeps running until the new one has passed on your own work.
What costs your lab most? Bring us that.
45 minutes on a video call with our founder and the people who live with the problem. Nothing to sign. You leave knowing what we would build first, and why.
Or write to us.hello@agentec.cloudAgentec on LinkedIn