Spotlight · for reagent and kit makers

Ship every product with an expert. Learn from every run.

Adept's app guides scientists through your protocols by voice, right at the bench. Their questions get answered before they become tickets, and every run becomes structured data your product, support, and quality teams can act on.

Book a demo See a live dashboard

Six manufacturer views, sample data, no form to fill in.

The execution gap

Your product ships.
Then it vanishes.

You know units sold and who complained loudly enough to file a ticket. Here's what manufacturers told us they can't see.

01 · Execution ambiguity

How do you know whether a failed result came from the product or from execution?

"If we assume they did everything perfectly, then yeah, the results are the results. But boy, do we really believe that?"
Sr. Dir. of Application Support, Life Sciences Manufacturer
02 · Bad support data

How do product teams get visibility into what is actually happening at the bench today?

"Product managers don't get reliable data from support tickets."
Product Manager, Tier 1 Life Sciences Manufacturer
03 · Documentation is not enough

Why are customers still asking questions that are already answered in the protocol?

"Not a single customer has ever read their user guide start to finish."
Technical Support Lead, NGS Reagent Manufacturer
04 · Silent churn

How often do customers try your product and disappear without ever asking for help?

"We're sending out free samples and it's like, 'Have you tested it?'"
General Manager, Life Sciences Reagent Manufacturer
05 · Long optimization cycles

How many weeks or months are troubleshooting and optimization cycles adding to adoption?

"It could be months or it could be weeks."
Commercial Lead, Reagent Kit Manufacturer
06 · Support burden

How much of your support burden comes from users who are not experts?

"Half our customers are not experts, and those are the ones that require the most extensive support."
Sr. Dir. of Application Support, Life Sciences Manufacturer
How it works

Guide. Learn. Improve.

One loop from the scientist's bench to your product team, and back again.

Guide Learn Improve Every improvement ships back to the bench
01 · Guide

An expert at every bench.

Replace paper manuals with expert help in the moment it's needed.

In the Adept app, on a phone, tablet, or any browser, voice guidance walks scientists through your protocol step by step. An AI support agent grounded in your approved product content gives precise answers around the clock, with the source cited, and hands off the conversations that need a person. Every guided run is captured as it happens: timing per step, pauses, deviations, and the questions scientists ask ("Why is this cloudy?").

  • ✓ Hands-free, step-by-step voice guidance
  • ✓ 24/7 access to product-specific answers
  • ✓ Product questions resolved before they become tickets
  • ✓ Hand-off to your technical team when a question needs a person
1 timestamped run record for every guided run
Adept app on a phone: Ask Adept AI answering a scientist's question about End Repair and A-Tailing, with the protocol source cited
Phone Tablet Web browser

Runs in any browser at app.adept-scientific.com. Nothing to install.

Sample data
At the bench
Step 4 of 9
End repair and A-tailing
"Why is this cloudy?"
Step time12:40
On your dashboard
Logged
14:02:17
Product family
Library Prep Kit
Step
4
Dwell vs. IFU
12:40 / 10:00
Question
Appearance
One moment at the bench, one structured event for your team.
Explore the live dashboards
02 · Learn

Find where your product breaks down.

Field data from your deployment is aggregated and anonymized into interactive dashboards. Spot step-level bottlenecks, track lot-to-lot variance, and catch early-warning signs on accounts that are quietly struggling.

  • ✓ Protocol success rate by SKU
  • ✓ Step dwell times against your documented times
  • ✓ Early-warning signals on at-risk accounts
6 dashboard views, one for each team that touches your product
03 · Improve

Turn field data into better products.

Stop guessing what goes wrong after the kit leaves your warehouse. Use hard telemetry to update user guides, deploy targeted field alerts, and resolve support tickets faster.

In practice: a single flagged reagent lot shows up automatically in both Support's ticket queue and Quality's watchlist. The same signal, seen by both teams, without anyone connecting the dots by hand.

5 teams working from the same signal
Northside Genomics92
Harbor Bio Core41 · Call today

Customer Success

One health score, combining success rate, deviations, and query volume, flags which accounts need a call today.

Triage queueTickets
Lot 24A17 · Step 414
Lot 24A09 · Step 73
Lot 24A12 · Step 21

Technical Support

A ranked triage queue traces this week's ticket spike straight to the lot causing it.

Confusion by step
12345678

Product

A step-by-step confusion heatmap shows exactly which page to fix next in the user guide.

LotSuccess rate
24A0996%
24A1294%
24A1771% · Review

Quality

Lot-level success rates flag a failing lot for quarantine before it becomes a complaint.

Weekly active runsRising

Marketing

Adoption curves show which assay is taking off months before published research confirms it.

Explore all six dashboards

Sample data, no form to fill in.

View them now

And back to Guide. Update your guidance once and every customer sees the latest version instantly. Your kit can stay fixed under change control; what you know about it, and how you guide people through it, keeps getting better.

0 reprints needed when product guidance changes
Cost savings calculator

Support costs scale with every product you ship.

See your Year 1 impact.

Start from our conservative assumptions and adjust them to match your portfolio. Every number below updates as you move the sliders.

Your portfolio

We default low. Move it up if your ticket mix is mostly repeat protocol questions.

Your Year 1 impact

Support cost today
$900,000
Support cost with Adept
$360,000
Year 1 support savings
$540,000
Reduction in support cost
60%
Get a custom ROI analysis

Today, without Adept

Annual tickets across portfolio
3,000
Total annual support cost
$900,000

With Adept

Questions resolved at the bench
1,800
Tickets still reaching your team
1,200
Remaining annual support cost
$360,000

Estimates only, based on the figures you enter. Savings are support costs avoided when questions are answered at the bench instead of reaching your team, before the cost of your Adept engagement, which is scoped to the product families you deploy on. Your actual savings depend on your ticket mix, your support cost structure, and deployment scope. Talk to us for a tailored analysis that includes your engagement cost.

The real return

Support savings are what you notice first. Retained customers are why you stay.

The calculator measures what you stop spending. This is what you start knowing. Every guided run produces a protocol execution record, showing step by step how a scientist ran your protocol. Those records show you what to fix next, which accounts are at risk, and whether your last change worked. No survey, ticket queue, or field visit can tell you that.

Three things you cannot know today

Fix the right thing
What you hear now

"Customers are reporting low yield with this kit."

What you would know

That step 7 is where users stall, that the median dwell time there is three times your documented estimate, and that the failure concentrates in first-time users rather than in a reagent lot.

Prove what works
What you hear now

"Our protocol success rate looks acceptable."

What you would know

Acceptable compared to what. Your own SKUs against each other, this lot against the last twelve, experienced labs against first-time users, this quarter against the one before the revision shipped.

Keep the account
What you hear now

Nothing. The account simply stops reordering.

What you would know

That their last four runs failed at the same step and that nobody opened a ticket. Silent churn becomes a signal you can act on months before the renewal conversation.

Adoption evidence

A support agent nobody opens is worth nothing.

The risk in bundling software with your kit is not whether it works. It is whether scientists use it. Here is what bench scientists told us after running their own protocols with Adept.

"It is like having a lab notebook without having to write and type one, and I very much like that."
Early Access Scientist
"I love the ghost of the previous and future step display, giving a reminder of what was just done and what to look forward to."
Early Access Scientist
"I particularly love the fact that it does the calculations for me."
Early Access Scientist
"Adept offers a solution that cuts the planning time in the lab substantially. For a new kit, or even a kit I've been using, interacting with the protocol and creating documentation in real time changes the game."
Scientist, Private Biomedical Research Org
"I think having an AI trained to the level of a senior scientist on a specific workflow and its underlying molecular biology would be a real asset, a force multiplier, for a team, assisting a technician or research assistant every time they run the workflow on a plate of samples."
Scientist, NGS Company
"I've spent the last 15 years managing teams and executing complex NGS protocols on large cohorts of samples myself. I've had numerous moments where a tech would have to leave the lab, come find me, and ask a question that pauses the whole workflow."
Scientist, NGS Company
"I loved trying out the app; it was nice that it was self-paced. I think I would use this every time or close to it, especially for a more complicated procedure."
PhD Candidate, Biology

Your deployment stays isolated.

Every engagement runs on the same standard terms. No pooling, no sharing, no exceptions negotiated case by case.

See exactly what we capture, and what we never capture
Ways to engage

Start with one product family. Grow from there.

Start with a 4-week evaluation. From there, each engagement is an annual agreement sized to the product families you put on Adept. The difference between them is scale, depth of data, and how closely our team works alongside yours.

Step one

Evaluate

4 weeks
One product family
Request an evaluation

A short, defined test on live runs, so the results make the decision instead of a sales pitch.

  • Your protocol added to the Adept app, alongside the other protocols scientists already use it for, with the guidance built alongside your team
  • Scientists running your protocol with Adept at the bench, on their own samples
  • Success criteria agreed with you before kickoff
  • A written results report at the end, in place of the dashboard: questions answered, where users stalled, and what it means for your support load

Deploy

One flagship product family

For rolling out on the product line with the heaviest support load, after a successful evaluation.

Platform
  • Voice-guided support for your protocols in the Adept app, with a branded version of the assistant available, scoped with you
  • Answers and troubleshooting at the bench, as the scientist works
  • Automatic run records for your customers
  • Clear escalation paths to your technical team when a question needs a human
Data
  • Product intelligence dashboard for your product and support teams: protocol success rate, step dwell times, and where users stall
  • Early warning when an account's runs keep failing, before it stops reordering
Getting live
  • We build the protocol guidance with your team
  • No re-engineering of your kit or instrument
Scope a deployment

Scale

Multiple product families

For expanding across your portfolio once the first family proves out.

Platform
  • Everything in Deploy, across each family you add
Data
  • One dashboard across every family, so you can compare SKUs, lots, and customer segments side by side
See it first
Plan your expansion

Enterprise

Portfolio or multi-division

For large manufacturers with many product lines and their own IT, security, and support requirements.

Platform
  • Everything in Scale
  • Integrations with your support and CRM systems, scoped together
Security
  • Security review with your IT team before anything is signed
Talk to us about your portfolio

The same data terms at every level.

From a 4-week evaluation to a portfolio-wide agreement, your deployment is isolated from every other manufacturer's, nothing from it is used for model training or industry benchmarking, and your documentation is returned or deleted at contract end. Scientists' run records belong to them, so your dashboards show execution data aggregated and anonymized, never their results, sample identities, or project context. Read how data is handled.

Free for your customers.

Scientists never pay to use Adept, so nothing stands between your kit and the assistant. That is what drives the adoption behind every number on this page. See what scientists get.

Questions? Answers.

Everything a commercial or product leader wants to know before working with Adept.

How does Adept integrate with our existing kits or instruments?

Your protocol is added to the Adept app, where scientists get step-by-step, voice-guided instructions for it alongside the other protocols they run. There is no re-engineering of your kit or instrument required. A branded version of the assistant is available for deployments, scoped with your team.

Who owns the execution data, and how is it protected?

Scientists' run records belong to them. Your dashboard shows execution data aggregated and anonymized to protect individual user identity, and never their results, sample identities, or project context. Each deployment gets a strongly isolated, siloed knowledge base and analytics that are never shared across customers, encrypted in transit and at rest, with role-based access and MFA for privileged users. Customer and scientist data is not retained by third-party model providers and is not used to train third-party models. Transcripts and usage stats are used only to deliver and improve your own deployment, never for model training or industry benchmarking. At contract end, your documentation is returned or deleted, and data governance is worked out before any agreement is signed. Full detail on our security page.

How is this different from our field application scientists or a tool like Zendesk?

Field application scientist teams provide expert support but do not scale and capture little structured data. Generic support platforms handle tickets, not multi-step protocol execution. Adept guides the protocol itself, in real time, and turns every run into structured, SKU-level intelligence, which is something neither approach produces today. Want to equip your own field team instead? See Beacon.

What does getting started involve, and how long does setup take?

Most manufacturers start with a 4-week evaluation on a single flagship product family, with success criteria agreed before kickoff. There is no engineering lift required on your side. If the results meet the criteria, the evaluation rolls into an annual deployment.

What does Adept cost?

Pricing is structured per product family, so you only pay for the SKUs where support burden is highest. Most manufacturers start with one flagship family and add more as the value proves out; see the ways to engage above. Use the calculator above to estimate your savings, then talk to us for a quote tailored to your portfolio.

Which manufacturers is Adept built for?

Adept is built for manufacturers selling complex, workflow-intensive products, including NGS reagent kits, analytical instruments, and liquid handling automation, where protocol execution is high-stakes and support burden is acute. Installing and onboarding instruments with your field team? See Beacon.

Kristina Fontanez, PhD, Founder and CEO of Adept

Founder-led. Built by scientists.

Adept is led by Kristina Fontanez, PhD, a repeat founder who co-invented the single-cell technology powering Illumina’s Billion Cell Atlas. She previously co-founded Fluent BioSciences, acquired by Illumina for $85M in 2024.

After 12+ years building molecular tools, she's now solving the real-time support bottleneck for genomics and life science products at scale.

She's building Adept alongside Drew Bryant, PhD (Head of Software Engineering, ex-Google, ex-Amazon) and Jason Callina (CTO, ex-Woebot Health), bringing 30+ years of combined experience shipping production software and scientific AI/ML.

Kristina Fontanez signature

Founder & CEO, Adept Scientific

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Built, backed, and advised by the best in AI and life sciences.

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