Last updated: 2026-08-13
Tamarind Bio is a computational biology platform that runs AlphaFold, RFdiffusion, Boltz-2, and 200+ other published protein design and structure prediction models through a no-code web app or a REST API, handling all GPU orchestration so research teams skip building their own HPC environment.
About Tamarind Bio
Tamarind Bio is a computational biology platform, founded in San Francisco in 2023 by Stanford alumni Deniz Kavi and Sherry Liu, that gives scientists a single web app and API for running published machine learning and physics-based models instead of installing and maintaining each one separately. The company has raised $14.1 million across two rounds, including a $13.6 million Series A led by Dimension Capital with Y Combinator participating, and says its platform now serves 10,000+ researchers across biotechs, global biopharma, and academic labs. The platform wraps a wide catalog of named tools, including AlphaFold2, RFdiffusion, Boltz-2, Chai-1, ProteinMPNN, and GROMACS, behind a shared job-submission interface and a REST API, and handles GPU provisioning and parallelization in the background so a user does not need to configure a high-performance computing environment. Jobs can be chained into Pipelines, for example generating candidate sequences, filtering them by a confidence score, and then running molecular dynamics, or submitted in Batch Workflows against a spreadsheet or list of structures for high-throughput screening. Tamarind organizes its tools around four molecule types: antibody and nanobody design (CDR redesign, binding-pose prediction, developability scoring), enzyme engineering, peptide discovery, and small-molecule docking and virtual screening. It is built for computational biologists, protein engineers, and structural biology researchers who already understand concepts like pLDDT and ipTM scores, rather than for a general audience. Access is web-based with a companion REST API and an MCP server for agentic integrations; there are no desktop or mobile apps. The Free plan runs at no cost with access to the full model catalog and unlimited job data storage, an Academic plan adds extra free volume for university, government, and nonprofit emails, and Premium and Enterprise tiers, covering unlimited job runtime, open API access, custom model hosting, and SAML SSO, are quoted individually after a sales call. Tamarind Bio is a member of the OpenFold consortium working on an open AlphaFold3 reproduction, and its documentation lists AlphaFold3-class alternatives such as Chai-1, Boltz, and Protenix since AlphaFold3 itself is not commercially licensable. The company holds a SOC 2 Type 2 report from its June 2025 audit and a Q4 2024 penetration test available through its trust center, positioning it for enterprise pharma customers with data security requirements.
Pricing
Free: $0/month, 10 jobs/month across the full model catalog, unlimited job data storage, and email support. Academic: extra free monthly jobs for university, government, or nonprofit emails. Premium and Enterprise: priced after a sales call (contact via 'Book a Meeting'); a third-party pricing review (AIChief) reports Premium agreements starting near $50,000/year, a figure Tamarind itself does not publish.
Key Features
- 200+ Model Library: Runs a wide catalog of more than 200 published computational biology models, covering structure prediction, protein design, docking, and molecular dynamics, from one interface.
- No-Code Web Interface: Lets scientists submit structure prediction, docking, and design jobs by choosing inputs in a browser, with no HPC or DevOps configuration required.
- Programmatic REST API: Exposes a documented REST API so computational teams can queue jobs like AlphaFold runs programmatically instead of clicking through the web app one at a time.
- Pipelines: Connects multiple tools into a single automated run instead of moving output files between separate jobs by hand, cutting the manual steps in a design-then-simulate workflow.
- Batch Workflows: Runs the same tool across an entire spreadsheet or list of structures in one submission instead of one job at a time, for high-throughput screening.
- GPU Orchestration: Manages GPU provisioning and parallelization behind the scenes, removing the need for a research team to size, rent, or maintain its own compute cluster.
Pros
- Aggregates a large catalog of published computational biology tools, including AlphaFold, RFdiffusion, Boltz-2, and GROMACS, behind one interface instead of dozens of separate installs.
- An individual academic can evaluate the full model lineup on the Free plan before committing to a paid seat, with no credit card required to sign up.
- Holds a SOC 2 Type 2 report as of its June 2025 audit, plus a Q4 2024 penetration test available on request, which matters for pharma partners handling proprietary sequences.
- Runs on Tamarind's own GPU orchestration layer, so a single account can queue jobs across hundreds of thousands of structures without provisioning compute directly.
Cons
- Premium and Enterprise pricing is not published on the site; a third-party review reports Premium contracts in five-figure annual territory, so budget-conscious teams need a sales call before scoping cost.
- The Free plan caps usage at a monthly job limit and enforces runtime limits, which is thin for any real screening campaign beyond initial testing.
- Effective use assumes familiarity with computational biology concepts like pLDDT and ipTM scores; it is not built for non-scientific users.
- AlphaFold3-class outputs on Tamarind come from open reproductions such as Chai-1, Boltz, and Protenix rather than DeepMind's AlphaFold3 itself, since AlphaFold3 is not commercially licensable.
Frequently Asked Questions
How much does Tamarind Bio cost in 2026?
The Free plan costs $0 a month and unlocks every model in Tamarind's catalog with unlimited job data storage and email support; exact job limits are covered in the free-tier question below. Premium is priced individually for teams that need unlimited job runtime, open API access, and admin controls, and a third-party pricing review reports Premium agreements in five-figure annual territory, though Tamarind itself does not publish that number. Enterprise adds custom model hosting, security audits, an SLA, and SAML SSO, also quoted per organization. A separate Academic plan gives extra free jobs to university, government, or nonprofit accounts.
Is Tamarind Bio free to use?
Yes, Tamarind's Free plan lets any user run 10 jobs a month across the entire model catalog, including AlphaFold and RFdiffusion, with no cap on job data storage. The plan does enforce job runtime limits and does not include the open API access or admin controls sold with Premium. Academics, government researchers, and nonprofit staff can apply for an extended Academic plan with a higher monthly job allowance than the standard Free tier.
What are the best alternatives to Tamarind Bio?
Replicate is a better fit for teams that want a general-purpose hosted inference API for any open-source model rather than a biology-specific tool catalog. Modal suits engineering teams that want to write their own GPU-backed Python pipelines instead of Tamarind's no-code job submission. Databricks is the choice for organizations that need a broader data science and MLOps platform beyond protein and molecule design workflows.
How does Tamarind Bio compare to Replicate in 2026?
Replicate is a general-purpose hosted inference platform for any public or custom ML model, while Tamarind Bio curates and maintains a large catalog of models specifically for protein, antibody, peptide, and small-molecule design, with pre-built pipelines like structure prediction and molecular dynamics. Tamarind's Free plan unlocks the entire model catalog with no per-run compute charge, whereas Replicate bills per second of compute from the first run. Choose Tamarind for computational biology workflows that need domain-specific tools like AlphaFold and RFdiffusion already wired together; choose Replicate for running arbitrary models outside biology.
How do you get started with Tamarind Bio?
Create a free account at app.tamarind.bio; no credit card is required to start on the Free plan. From the web interface, pick a task such as structure prediction or protein design, select a model like AlphaFold2 or RFdiffusion, and submit a sequence or structure as input. Teams that want programmatic access can instead call the REST API with an API key, or book a demo for Premium and Enterprise onboarding.
Top Alternatives
- Replicate: Pick Tamarind Bio if you need curated computational biology models wired into ready-made pipelines; pick Replicate for hosting or running any general-purpose ML model.
- Modal: Pick Tamarind Bio if your team wants a no-code job submission interface for protein design; pick Modal if you want to write your own GPU-backed Python code.
- Databricks: Pick Tamarind Bio for a narrow, deep catalog of computational biology tools; pick Databricks for a broad data engineering and MLOps platform.