Adaptyv vs Isomorphic Labs
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Adaptyv | Isomorphic Labs |
|---|---|---|
| Pricing | From $149/protein (96 proteins, screening) | Contact for partnership pricing |
| Target Users | AI-first protein design teams, academic labs | Large pharma companies |
| Primary Offering | Automated wet-lab validation (binding, expression, thermostability) | AI-driven drug design engine (predictive + generative) |
| Turnaround | <3 weeks from sequence to data | Varies per partnership (software-only, no wet-lab) |
| API / Integration | Comprehensive API, Benchling Direct Ordering | Not publicly accessible; closed partnerships |
| Latest News | 2026-05-13: LLM-designed binders (37/141 hits); 2026-04-01: Public API | 2026-05-12: Series B round; 2026-01-20: J&J collaboration |
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.
What real users say: Adaptyv vs Isomorphic Labs
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Adaptyv
4 mentions across 1 sources · 65% positive
Hacker News
What users praise
- • 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.
What frustrates them
- • 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.
Researched Jul 3, 2026
Isomorphic Labs
48 mentions across 3 sources · 82% positive
Hacker News, YouTube, Lemmy
What users praise
- • Built on the Nobel-winning AlphaFold, giving it instant credibility in structural biology.
- • Drug Design Engine extends beyond structure to generative molecule design, promising novel chemistry.
- • Deep partnerships with Novartis and J&J, with potential billions in royalties.
- • Interdisciplinary team of top ML and drug discovery experts, ensuring depth of expertise.
What frustrates them
- • Not accessible to individual researchers or small biotech due to partnership model only.
- • Proprietary nature of parts of its tech limits community scrutiny and independent validation.
- • CASP16 results suggest AlphaFold 3-based models aren't always better than older methods for protein-ligand interactions.
- • No marketed drugs yet; outcomes remain uncertain with royalties tied to long timelines.
Researched Aug 18, 2026
Who should pick which
- Solo founder building AI protein design modelsPick: Adaptyv
Transparent per-protein pricing ($149/protein) and a public API to rapidly validate designs, with results in <3 weeks. Isomorphic Labs is inaccessible to individuals.
- Academic lab needing high-throughput binder screeningPick: Adaptyv
Direct Benchling integration and automated wet-lab for binding/thermostability assays with clean data suitable for model training. Turnaround <3 weeks fits academic cycles.
- Large pharma company launching a drug development programPick: Isomorphic Labs
Exclusive partnership model with a Nobel Prize-winning AI engine (AlphaFold), $600M funding, and established collaborations with Novartis and J&J.
- Autonomous AI agent for protein designPick: Adaptyv
Adaptyv's comprehensive API enables programmatic experiment creation and data retrieval, directly supporting autonomous agents. Isomorphic Labs offers no public API.
- Team needing custom assay development beyond binding/thermostabilityPick: Isomorphic Labs
Adaptyv explicitly does not support custom assays beyond binding, expression, or thermostability. Isomorphic Labs' partnership model could potentially include bespoke computational solutions, but no wet-lab.
Frequently Asked Questions
Adaptyv vs Isomorphic Labs: which should you choose?
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.
What is the minimum order size for Adaptyv?
Adaptyv's static facts indicate pricing starts at 96 proteins (screening resolution). They support up to 768 proteins per experiment.
Does Isomorphic Labs offer any pay-per-use or API access?
No. Isomorphic Labs operates solely through pharma partnerships and does not provide a public API, software, or per-use pricing.
Can I use Adaptyv only for binding assays?
Yes. Adaptyv offers binding, expression, and thermostability assays. It does not support cell-based, enzymatic, or in vivo assays.
Is Isomorphic Labs a spinout of DeepMind?
Yes. It was spun out of DeepMind and builds on the Nobel Prize-winning AlphaFold system.
What was Isomorphic Labs' latest funding round?
According to news from 2026-05-12, it closed a Series B investment round (amount undisclosed). In 2025-03-31, it raised a $600M external investment round.
Does Adaptyv integrate with Benchling?
Yes. According to news from 2026-05-06, Adaptyv is integrated into Benchling's Direct Ordering Partners.
Who are Isomorphic Labs' pharma partners?
Static facts and news (2026-01-20) list Novartis and Johnson & Johnson as collaborators.
What is the turnaround time for Adaptyv?
Adaptyv guarantees results in under three weeks from sequence submission.
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Last reviewed: July 3, 2026