Company

Retro Biosciences

Sam Altman-funded longevity biotech: autophagy pill RTR242 in Phase 1, iPSC-derived blood-stem-cell therapy in its own cGMP plant.

1. Core Product / Service

Retro (founded 2021, Redwood City) pursues three routes to extending healthy lifespan: small molecules, cell therapies and cellular reprogramming [1].

  • RTR242 — an oral, first-in-class small molecule designed to restart autophagy. A randomized, placebo-controlled single-ascending-dose Phase 1 in healthy volunteers (ACTRN12625001274460, 50–800 mg) runs at an early-phase unit in Adelaide, Australia; Alzheimer's disease is the intended first patient indication [2][3]. The company says it took ~15 months from indication selection to first dose [4].
  • Cell therapy — iPSC-derived hematopoietic stem cells (with Murdoch Children's Research Institute) and an automated-manufacturing partnership with Multiply Labs worth up to $85M [1][5].
  • Reprogramming / AI — with openai, a biology-specialized model (GPT-4b micro) designed variants of Yamanaka factors (RetroSOX, RetroKLF) that reportedly raised pluripotency-marker expression >50x; these are self-reported results without independent replication [6].

Wet lab — from shipping containers to cGMP:

Phase Detail
2021 start Abandoned retail building in Redwood City fitted with ~40 prefabricated container labs; experiments began in about two months; CEO's estimated build-out cost ~$200k vs a ~$15M quote for comparable conventional lab space (personal, unaudited estimate) [7]
Today ~50k sf across two adjacent buildings (job-posting description; another posting cites 23k sf, likely one building)
In-house manufacturing Own cGMP cell-therapy facility with cleanrooms supporting two cell-therapy programs (company blog, May 2026) [1]
Headcount ~98 (third-party estimate, March 2026)
Outsourced Phase 1 at an unnamed Australian early-phase clinical unit [2]; small-molecule CMC/GLP-tox vendors undisclosed

2. Target Users & Pain Points

  • Its own pipeline, aimed at age-related disease (neurodegeneration, blood/immune aging).
  • Pain addressed: aging biology is slow to translate; Retro tries to compress the path to human data (first dosing within ~15 months of choosing an indication) and to own scarce cell-therapy manufacturing capacity.

3. Competitive Landscape

Player Approach Vs. Retro
newlimit Epigenetic reprogramming via LNP-mRNA, liver first Preclinical; Retro already in humans
Altos Labs $3B reprogramming institute Much larger, no disclosed clinical candidate
recursion-pharmaceuticals Phenomics platform (acquired Vium, the CEO's previous company) Broad disease platform vs aging-specific

4. Unique Observations

  • The only GMP insourcer in its cohort: among US AI-era pipeline startups, Retro is the one that brought GMP manufacturing in-house — driven by cell-therapy CDMO capacity and process know-how, not by small molecules [1].
  • Capex frugality as a founding story: the container-lab start is widely retold, but the "Bio-Foundry" label sometimes attached to it is not confirmed, and the ~$200k figure likely excludes equipment [7].
  • Altman's vehicle for drug R&D: OpenAI has said it is not building drugs itself; Retro, privately funded by Altman and partnered with OpenAI on models, is one plausible route by which OpenAI-adjacent work reaches the clinic [4][6].

5. Financials / Funding

  • Founding capital: $180M from Sam Altman (2021) [7].
  • 2026 round: initial close announced 2026-05-22 at a $1.8B pre-money valuation, led by 4P Capital; amount undisclosed [1].
  • RTR242 data: the CEO has said no dose-limiting toxicities have been seen; early data had been expected around August / Q3 2026, but no formal data release was found as of 2026-10-14 [3]. An unsourced aggregator claim of a safety failure contradicts the company's statements and is unverified.

6. People & Relationships

  • CEO: Joe Betts-LaCroix (founded Vium, later acquired by Recursion); co-leaders include Sheng Ding and Matt Buckley.
  • Backers / partners: Sam Altman, 4P Capital, openai, Multiply Labs, Murdoch Children's Research Institute.
  • Peers: newlimit, Altos Labs.

Sources

  • [1] Retro Biosciences blog, "Fundraise 2026" (2026-05-22; accessed 2026-10-14)
  • [2] Longevity.Technology, "Retro Bio commences first-in-human trial" (accessed 2026-10-14)
  • [3] Longevity.Technology, "Retro Bio's $1.8b moment" (accessed 2026-10-14); ANZCTR ACTRN12625001274460
  • [4] Regen Report / Retro statements on time to first dose (2026-05; accessed 2026-10-14)
  • [5] Business Wire, Multiply Labs–Retro $85M partnership (2024-05-14; accessed 2026-10-14)
  • [6] OpenAI, "Accelerating life sciences research with Retro Biosciences" (accessed 2026-10-14)
  • [7] MIT Technology Review (2023-03-08); Bloomberg Businessweek (2023-12-19) (accessed 2026-10-14)
Data profile · AI for Science

Retro Biosciences

延寿生物技术公司,与 OpenAI 合作用湿实验验证蛋白模型

数据类型
细胞重编程湿筛;蛋白变体功能数据
客户
OpenAI(合作)

做什么

Retro 以延长健康寿命为目标,研究细胞重编程、自噬和血液/免疫再生等方向,自建 cGMP 生产能力;站内公开资料称其以集装箱式实验室起步(约 20 万美元,二手)[2]。

作为验证闭环的案例

2025-01,OpenAI 与 Retro 合作的 gpt-4b-micro 为 Yamanaka 因子(如 SOX2、KLF4)生成变体,Retro 在人成纤维细胞中湿筛:多能性标记表达提升 50 倍以上,建议的 SOX2 变体 >30% 优于野生型(传统筛选 <10%);站内分析另引 iPSC 重编程由 3 周缩至 7 天 [1][2]。以上均为合作方口径(二手转述),未见独立复现。

角色与争议

站内"前沿模型训练"页把这类合作归为 Tier1"事后验证":模型出方案,湿实验验证,结果尚未回流为训练数据。对比之下,Tier3 是把湿实验直接当 RL 环境,见 wetlab-as-rl-environment。争议在于:命中率比较的对照基线(传统筛选)选择、湿实验样本量与命名变体的稳健性均未完全公开。"OpenAI 基金会 4,000 万美元付 UNC 造数据"一说尚未核实 ⚠️。

  1. https://openai.com/index/accelerating-life-sciences-research-with-retro-biosciences (2026-10-15)
  2. 站内 wetlab-frontier-model-training 页
Last compiled: 2026-10-14