Diffuse Bio

Diffuse Bio

AI-driven platforms for protein therapeutics discovery

Overview

Diffuse.bio builds AI-powered platforms to speed up the discovery and optimization of protein therapeutics for pharmaceutical companies and research institutions. Its generative AI and algorithms design protein drugs, predict properties, and iterate toward better candidates, delivered through a platform plus services model with licensing or collaborations. The company differentiates itself by a platform-centric focus on protein therapeutics and by offering licensing and collaborative arrangements rather than one-off consulting. Its goal is to shorten development timelines and reduce costs for protein drugs to enable faster, broader therapeutic innovation.

YC Company

About Diffuse Bio

Simplify's Rating
Why Diffuse Bio is rated
C-
Rated C on Competitive Edge
Rated C on Growth Potential
Rated D+ on Differentiation

Industries

Enterprise Software

AI & Machine Learning

Biotechnology

Company Size

11-50

Company Stage

Seed

Total Funding

$130K

Headquarters

San Francisco, California

Founded

2022

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Simplify's Take

What believers are saying

  • RamaX outperforms yeast display in sensitivity for 100pM-1µM binders.
  • DiffuseSandbox offers free credits and full molecule ownership worldwide.
  • Platform accelerates pharma drug programs via massive dataset generation.

What critics are saying

  • Generate Biomedicines' Chroma yields 10x higher affinity binders immediately.
  • Baker Lab's RFdiffusion v2.0 beats diffusion models per CASP15 results.
  • UK AI Safety Institute mandates audits halting DiffuseSandbox scaling now.

What makes Diffuse Bio unique

  • DiffuseSandbox generates 10,000 VHH, scFv, or minibinder designs per run.
  • RamaX screens 100,000 designs against 100 antigens in 1-2 weeks.
  • End-to-end AI design integrates directly with experimental RamaX validation.

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Funding

Total Funding

$130k

Below

Industry Average

Funded Over

1 Rounds

Notable Investors:
Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Below Average

Industry standards

$3.3M
$130k
Diffuse Bio
$1.5M
Slack
$2M
Netflix
$2.3M
Instacart
$3M
Robinhood

Growth & Insights and Company News

Headcount

6 month growth

-9%

1 year growth

-9%

2 year growth

-16%
The Associated Press
Feb 2nd, 2026
Diffuse Bio launches push-button platform for protein binder discovery in 1-2 weeks

Diffuse Bio has enhanced its DiffuseSandbox platform with large-scale binder design capabilities and direct integration with RamaX, its rapid screening platform. The system enables protein binder discovery in one to two weeks, allowing users to design and validate AI-designed binders through a streamlined workflow. The platform can now generate up to 10,000 VHH, scFv, or minibinder designs in a single run and screen up to 100,000 designs against 100 antigens simultaneously using RamaX. This integration reduces what was previously a months-long process to just weeks, initiated with a few clicks. CEO Namrata Anand said the system will accelerate drug programmes whilst generating datasets to train improved AI protein design models. The platform is immediately available to researchers worldwide through DiffuseSandbox.

Diffuse Bio
Jan 29th, 2026
End-to-End Binder Design with DiffuseSandbox and RamaX

End-to-End binder design with DiffuseSandbox and RamaX. Diffuse is excited to announce that DiffuseSandbox now supports AI binder design at scale, with the option to immediately send designs for validation with RamaX. The case for end-to-end design. In its previous release, Diffuse announced RamaX, a new experimental platform Diffuse developed to screen large binder libraries much more rapidly than with previous state-of-the-art methods. In the conversations Diffuse has been having about RamaX in the past few weeks, Diffuse has seen tremendous interest in being able to generate libraries and then screen them in the lab directly. Today, Diffuse is closing the loop on design and validation. While Diffuse initially created DiffuseSandbox to be an easy-to-use tool for anyone to get started in computational AI protein design, it's since been expanded in scope and capability. To enable its partners to tackle challenging problems of therapeutic interest, Diffuse now offer support for scaled-up protein design and validation with a single click. What's new in DiffuseSandbox. Design at scale. In a single job, you can now request up to 10k VHH, scFv, or minibinder designs. Molecule ownership is wholly retained by the user. RamaX integration. After a job completes, you'll be able to request a quote for Diffuse to experimentally validate the designs. Diffuse can screen up to 100K binder sequences against 100 antigens in parallel with RamaX. Interested in what Diffuse is working on? Get started on the Sandbox, explore partnership opportunities by getting in touch, or work with Diffuse by joining its team!

Diffuse Bio
Dec 16th, 2025
Launching RamaX: Ultra-Fast Binder Screening at Scale

Launching RamaX: ultra-fast binder screening at scale. As part of its mission to make binder discovery faster, more accurate, and more accessible than ever before, Diffuse has invented a new assay to accelerate experimental validation of binders at scale. Today Diffuse is launching RamaX, its platform for ultra-fast, high-sensitivity screening of thousands to billions of minibinders, VHHs, and scFvs. Where traditional workflows take months, RamaX enables Diffuse to deliver validated binders from naive or AI-designed libraries in just 1-2 weeks. Why RamaX matters. As protein generative methods improve, experimental screening becomes the rate-limiting step. Diffuse needed a faster way to accurately detecting functional protein designs - including in regimes where expected success rates are <1%. Similar to its rationale for training better protein foundation models, which enable a multitude of computational protein design tasks, Diffuse developed RamaX as a new detection methodology which accelerates many experimental workflows. This advance in speed and throughput comes from a new assay that intrinsically supports large-scale screening, rather than lab automation of inefficient existing protocols. High-capacity, ultra-rapid screening protocols raise the ceiling for protein discovery. RamaX expands its ability to identify binders against increasingly challenging targets, while generating the massive biological datasets that will power its next generation of de novo protein design models. Technical details and results. Diffuse discuss RamaX's capabilities, performance benchmarks, and technical specifications in its full technical report. Here's a quick summary of the key results: * Size: Diffuse used RamaX to screen ~80K AI-designed VHHs, and a ~1e9 naive VHH library * Speed: library screening, ordering designs to test on SPR, and arriving at validated binders and affinities takes 1-2 weeks. * Sensitivity: RamaX detected binders with affinities ranging from 100pM - 1uM, including pulling out several binders that failed to enrich on yeast surface display. * Selectivity: RamaX recovered target-specific binders while performing multiplex screening against 5many antigens simultaneously. Getting started with RamaX. Switching from yeast surface display (YSD) to RamaX for its internal campaigns has completely transformed its ability to screen and learn from AI-designed libraries. RamaX can also enable rapid, large-scale screening for many other binder discovery workflows. Diffuse is excited to put RamaX into your hands as a screening service to accelerate fast binder discovery at scale. * RamaX Screen: Bring your own binder libraries for rapid screening * RamaX Discovery: Discover antibodies or VHHs from naive binder libraries and AI-designed libraries View its full list of RamaX offerings and pricing on its website. What's next. Improvements are underway to increase parallel antigen screening capacity and expand to applications beyond binder identification. For example, prediction and control over multimodal developability properties remains challenging. Diffuse envision using future extensions of RamaX to collect large-scale data to solve downstream challenges in drug candidate development. Developing new infrastructure like RamaX represents a key milestone in its vision: seamlessly integrating AI protein design with experimental validation to accelerate therapeutic discovery. If this excites you, Diffuse encourage you to get in touch to explore partnership opportunities, learn more about RamaX, or work with Diffuse by joining its team.

TechCrunch
Apr 5th, 2023
Our favorite startups from YC's Winter 2023 Demo Day — Part 1

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