Adaptyv
Automated cloud lab for protein validation — binding, expression, and thermostability assays from $149 per protein.
Adaptyv is the right call when your model needs binding data on a predictable clock and your designs already exist digitally. Standard three-week turnaround, per-protein pricing from $149 including 2 replicates, support for up to 768 proteins per experiment, and an API that lets an agent create runs and pull structured results put it ahead of chasing CRO quotes for AI binder campaigns. The $40M Series A in August 2026 and published benchmarks — 37 binders from 141 TREM2 designs, plus a 16-target wet-lab test of Claude's designs — are the kind of receipts CROs rarely publish. If you need cell-based, enzymatic, or in vivo assays, need hands-on protocol control, or need sub-three-week cycles
Verified 4d ago · liveness 61/100 · cite: rightaichoice.com/tools/adaptyv
- AI protein design teams that need binding data on a predictable three-week clock
- Agentic biology workflows where an autonomous agent calls the API to run experiments
- High-throughput binder screening campaigns of up to 768 proteins with replicates
- Benchling users who want to submit protein tests without leaving their workspace
- Teams needing cell-based, enzymatic, or in vivo assays beyond binding, expression, and thermostability
- Labs on tight budgets, since screening resolution starts at $149 per protein
- Researchers who want hands-on control over wet-lab protocols or mid-run condition changes
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Adaptyv if your programme needs cell-based, enzymatic, or in vivo assays, requires hands-on control over wet-lab protocols, or needs sub-three-week turnaround and you don't qualify for the Prime private beta.
Shipping your own target instead of using the pre-validated library adds cost on top of the per-protein fee — the pricing calculator shows it as a separate line.
Per-protein pricing from $149 for screening resolution with 2 replicates and standard ~3 week delivery fits funded AI protein design teams and biotech R&D groups running binder campaigns in the tens to hundreds of designs. It is more expensive per experiment than sending a small panel to an academic core facility, but cheaper and far faster than standing up in-house expression and binding capacity. Full affinity resolution and Prime are quoted on contact, and Prime is a private beta rather than
In short
Adaptyv — Automated cloud lab for protein validation — binding, expression, and thermostability assays from $149 per protein. Best for AI protein design teams that need binding data on a predictable three-week clock, Agentic biology workflows where an autonomous agent calls the API to run experiments, High-throughput binder screening campaigns of up to 768 proteins with replicates. Plans from $149.
What's new in Adaptyv
Checked 4 days agoAcross the latest 4 updates: 4 news mentions.
Case study: Benchmarking Claude's protein designs in the wet lab
Tested Anthropic's Claude models on 16 targets for protein binder design, with results validated in the Adaptyv lab showing expert-level performance.
Can LLMs design proteins? Results from TREM2 hackathon
The TREM2 hackathon produced 141 designs and 37 binders, with AI agents matching human hit rates and the best binder at 3.64 nM.
Test proteins with Adaptyv directly from Benchling
Adaptyv joined Benchling as a Direct Ordering Partner, letting teams submit protein candidates from inside a Benchling project.
Adaptyv API: Giving everyone access to a real lab
Launched the public API for programmatic wet-lab access: query targets, create experiments, track progress, and pull structured results.
What people actually say about Adaptyv — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
4 mentions across 1 source (Hacker News) · researched Jul 3, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Under 3-week turnaround from sequence to data.
- +Transparent per-protein pricing; cost estimates via API.
- +All-in-one platform for ordering, tracking, analyzing results.
- +Clean, labeled data packages ideal for AI model training.
- +Supports up to 768 proteins per experiment with replicates.
- −Very few independent user reviews to validate claims.
- −Automated assays may lack flexibility for custom protocols.
- −No publicly available pricing tiers – per-protein only.
- −Limited to binding, expression, and thermostability assays.
- −Geographic concentration in Europe could delay overseas shipments.
- • No free tier; costs can add up quickly for large screens
- • Possible additional shipping fees for samples outside Europe
Viability Score
How well maintained and how widely used is Adaptyv? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Binding affinity screening assays run in an automated wet lab
- Full binding affinity characterisation at Full Affinity resolution
- Expression yield measurement for designed proteins
- Thermostability analysis of protein designs
- Digital protein sequence submission through a secure portal
- Standard turnaround of about 3 weeks from design to data
- Adaptyv Prime turnaround as little as 3 days (private beta)
- Clean, labelled data packages formatted for AI model training
- Public API to query the target catalogue and create experiments programmatically
- Real-time experiment progress tracking through the API
- Pull structured experimental results into model training pipelines
- Experiment management command centre in the Foundry platform
- Email notifications on experiment status and expected result dates
- Experiments support up to 768 proteins with 2 replicates
- Pre-validated target library, or ship your own target
About Adaptyv
Adaptyv Bio is an automated cloud lab for protein validation. You pick an assay type, upload your protein sequences digitally through a secure portal, and the automated lab runs binding affinity, expression, and thermostability experiments, returning a labelled data package in about three weeks on the standard tier — or as little as three days on Adaptyv Prime, which is in private beta. Experiments support up to 768 proteins with 2 replicates, and you can draw targets from Adaptyv's pre-validated library or ship your own. The whole loop is built to be hands-off. You manage experiments in the Foundry command centre, track progress and expected result dates via the platform and email updates, and export raw data instead of wrestling spreadsheets. For engineering teams, the public API is the real surface: query the target catalogue, create experiments programmatically, track progress in real time, and pull structured results straight into a model-training pipeline, so an AI agent can run a design–build–test–learn loop without a human in the middle. Adaptyv raised a $40M Series A in August 2026 to scale its automated wet-lab infrastructure, and the company positions itself as the automated lab for agentic biology. Public work backs that up: a TREM2 binder design hackathon produced 37 binders from 141 designs with a best binder of 3.64 nM, and a wet-lab benchmark of Anthropic's Claude models across 16 targets found expert-level binder design performance. Benchling Direct Ordering lets you submit proteins without leaving your Benchling project, and Adaptyv is also available in the Tamarind Bio Assay Portal. Pricing is per protein, starting at $149 for screening resolution including 2 replicates on standard delivery. Against traditional CROs you trade assay breadth for speed and consistency; against an in-house wet lab you trade protocol control for throughput.
Behind the Verdict
Adaptyv occupies a narrow, well-defined slot: it is a validation service for people who already have protein sequences and want experimental numbers back, not a design tool and not a general-purpose contract research organisation.What it does well. The three assay types on offer — binding affinity, expression yield, and thermostability — are exactly the readouts an AI protein design team needs to close a design–build–test–learn loop, and Adaptyv runs them in a fully automated lab. Standard delivery is about three weeks, with Adaptyv Prime offering as little as three days in private beta. Throughput is meaningful: experiments support up to 768 proteins with 2 replicates, and you choose between a pre-validated target library or shipping your own target. Results come back as clean, labelled data packages rather than raw instrument files, which matters if the output is going into a training pipeline rather than a slide deck.The API is the differentiator. Adaptyv exposes the target catalogue, lets you create experiments programmatically, track progress in real time, and pull structured results — the company's own framing is letting AI agents test protein designs in a real lab. That is a materially different product from emailing a CRO and waiting for a quote. The partner distribution backs it up: Benchling Direct Ordering submits candidates from inside a Benchling project, and Adaptyv is available in the Tamarind Bio Assay Portal.The evidence base is unusually public for this category. The TREM2 hackathon ran 141 designs and produced 37 binders with a best binder of 3.64 nM; a separate case study benchmarked Anthropic's Claude models on 16 targets and found expert-level binder design performance. Adaptyv raised a $40M Series A in August 2026 to scale the automated lab. Proteinbase, its protein design data hub, is a further signal that the company is building a data asset, not just a service queue.Where it doesn't fit. The assay menu is three items. If your programme needs cell-based, enzymatic, or in vivo work, Adaptyv cannot help, and no amount of API elegance changes that. Cost is real: screening resolution starts at $149 per protein including 2 replicates, and at 768 proteins that is a five-figure experiment before you factor in shipping your own target. Researchers who want to touch the protocol or adjust conditions mid-run will find the fully automated model restrictive — protein sequences go in digitally and data comes out.Who should use it. AI-first protein design teams, binder screening campaigns in the hundreds of designs, and agentic workflows where software calls an API to order and collect real experimental data. If you are that buyer, Adaptyv is close to the default choice. If you are not, it is simply the wrong lab.
Researching Adaptyv? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Adaptyv actually fits — and what changes day-one when you adopt it.
You generate 200 binder designs for a library target, pick screening resolution with 2 replicates, and upload the sequences through the secure portal. You watch progress in Foundry and get email updates with an expected result date.
Outcome: About three weeks later you download a labelled data package with binding, expression, and thermostability results and export the raw data for the next training round.
Your autonomous agent queries the Adaptyv API for the target catalogue, creates an experiment programmatically, and polls progress in real time as part of an automated design loop.
Outcome: Structured results land directly in your model-training pipeline without a human copying numbers out of a PDF.
You are already managing candidates in Benchling and use Direct Ordering to submit proteins to the Adaptyv wet lab from inside the project.
Outcome: Candidates go from your existing workspace to real binding data without a separate ordering workflow or email thread.
Use Cases
- Validate hundreds of AI-designed protein binders in a single experiment within about 3 weeks.
- Train protein language models on clean, labelled experimental binding and expression data.
- Iteratively improve designs by feeding experimental results back into generative models.
- Screen de novo designed proteins for thermostability and expression yield.
- Automate protein validation by calling Adaptyv's API from your own pipeline or agent.
- Run community competitions such as the TREM2 binder design hackathon.
- Benchmark LLM-designed binders against a defined target panel in the wet lab.
Models Under the Hood
as of 2026-09-23
Limitations
- Adaptyv's published assay menu covers binding, expression, and thermostability, with standard delivery around 3 weeks and Adaptyv Prime as little as 3 days in private beta — so projects needing other assay types, or faster cycles without Prime access, aren't covered.
- Proteins are submitted digitally and the lab is fully automated, so there is no hands-on experimental control or protocol adjustment.
- Advanced workflows — querying the target catalogue, creating experiments, tracking progress, and pulling structured results — run through the API and the Foundry platform rather than a manual bench interface.
- At $149 per protein for screening resolution including 2 replicates, a 768-protein experiment is a five-figure commitment before any target-shipping costs.
as of 2026-10-03
Verification history
We have re-verified Adaptyv 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Adaptyv tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Screening Resolution
from $149/protein
Ideal for
AI protein design teams running binder campaigns who need binding, expression, and thermostability readouts across dozens to hundreds of designs.
What this tier adds
Starting tier — from $149 per protein, includes 2 replicates and standard delivery in about 3 weeks.
Full Affinity Resolution
Contact for pricing
Ideal for
Teams that need full binding affinity characterisation rather than screening-level binding data on their designs.
What this tier adds
Adds full binding affinity characterisation over screening resolution; still includes 2 replicates and standard delivery, priced on contact.
Adaptyv Prime
Contact us (private beta)
Ideal for
Programmes where a three-week cycle is too slow and the team can work within a private beta for priority scheduling.
What this tier adds
Cuts turnaround to as little as 3 days with priority scheduling; private beta access, priced on contact.
Where the pricing makes sense
The company stage and team size where Adaptyv's pricing actually pencils out — and where peers do it cheaper.
Per-protein pricing from $149 for screening resolution with 2 replicates and standard ~3 week delivery fits funded AI protein design teams and biotech R&D groups running binder campaigns in the tens to hundreds of designs. It is more expensive per experiment than sending a small panel to an academic core facility, but cheaper and far faster than standing up in-house expression and binding capacity. Full affinity resolution and Prime are quoted on contact, and Prime is a private beta rather than
Setup time & first value
How long it actually takes to get something useful out of Adaptyv — broken out by persona, not the marketing-page minute.
For a design engineer with sequences ready: under an hour to configure an experiment in the pricing calculator and upload through the secure portal, with about three weeks to data on standard delivery. For an API user: an afternoon to read the docs and get a first programmatic experiment created. For a Benchling user with Direct Ordering: minutes to submit from an existing project.
Switching to or from Adaptyv
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From an email-based CRO workflow: move your design rounds into Foundry so quotes, submissions, and results live in one platform instead of scattered threads.
- →From manual spreadsheet tracking: upload sequences through the portal and let the API return structured results you can push straight into training data.
- →From a Benchling project: enable Direct Ordering to submit candidates to Adaptyv without leaving your existing workspace.
- →From an in-house expression and binding workflow: offload screening rounds to the automated lab when internal capacity becomes the bottleneck.
- ↗To a full-service CRO: use Adaptyv for binding, expression, and thermostability screening, then move programmes needing cell-based or in vivo assays to a provider with a wider menu.
- ↗To an in-house wet lab: export raw data from Foundry when you build internal assay capacity and want protocols under your own control.
- ↗To another automated validation provider: export sequences and labelled results from Foundry to preserve your design–test history before switching.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Adaptyv”, and we withheld 6: 6 could not be judged, because “Adaptyv” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Adaptyv.
Official links
Tools that pair well with Adaptyv
Common stack mates teams adopt alongside Adaptyv, with the specific reason each pairing earns its keep.
Cradle Bio
AI-guided protein engineering that co-optimizes binding, stability, activity, and expression using your own wet-lab data.
Benchling
Cloud ELN, LIMS, and AI platform that unifies biotech R&D data for discovery teams.
Quibim
Cloud-based medical imaging platform that turns MRI, CT, and PET scans into regulatory-cleared quantitative imaging biomarkers.
Featured Head-to-Head Comparisons
Adaptyv vs Isomorphic Labs
If you need rapid experimental validation of protein designs for AI model training, Adaptyv's <3-week automated lab with transparent per-protein pricing ($149/protein) is ready now. If you are a large pharma company seeking an exclusive AI drug discovery partnership, Isomorphic Labs' AlphaFold-based engine (backed by $600M+ funding and J&J/Novartis collaborations) is the right fit. For individual researchers or startups, Adaptyv is accessible; Isomorphic Labs is not.
Adaptyv vs Codametrix
Adaptyv and CodaMetrix serve completely different industries. Adaptyv is a must-have for AI-driven protein engineers needing fast, automated wet-lab validation (starting at $149/protein). CodaMetrix is an enterprise medical coding system for large health systems aiming for 5:1 ROI and 70% manual coding reduction. Choose based on your domain: protein design or healthcare revenue cycle.
Adaptyv vs Rapidsos
RapidSOS and Adaptyv serve completely different domains—emergency response and protein engineering—so your choice depends entirely on your field. For public safety agencies and enterprises needing AI-powered emergency data, RapidSOS is the clear leader. For AI protein design teams requiring rapid experimental validation, Adaptyv's automated lab (<3 weeks, $149/protein) is unmatched. There is no overlap; buy the one that fits your industry.
Alternatives to Adaptyv
View all
Cradle Bio
AI-guided protein engineering that co-optimizes binding, stability, activity, and expression using your own wet-lab data.
Frequently Asked Questions
Categories
Best-of guides
Used Adaptyv? Help shape our editorial sentiment research.