Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Total raised
$40M
1 round on record
Latest round
$40M
Series A · Aug 2026 · 1 mo ago
Team
51-200
employees, estimated range
Hiring now
29
+2 posted in 30 days
Backers
3
Y Combinator, byFounders
The money's age
Fresh money
1 months since the last round · and hiring
Momentum
38/100
hiring for its size, in the news, fresh money
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Aug 28 Raised a round Series A $40M Jun 2021 Went through Y Combinator 2021 Founded
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Hacker News stories
6
best: 5 points
Funding rounds
RoundDateAmountInvestorsSource
Series A Aug 2026 $40M — startuprise.co.uk
Registers and programsofficial lists and records that name the company
Legal entity Adaptyv Biosystems Inc SEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
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How Adaptyv Bio hires

Truth index
A 95/100
Median time to fill
101 days
Ghost roles
0%
Stale roles
0%
Reposted roles
0%

Adaptyv Bio scores A on the Alion truth index (A is best, E worst), measured over 29 open roles re-checked against its own hiring board: 0% look like ghost listings, 0% have gone stale and 0% are the same role posted again. Its roles close in a median of 101 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed

Overview

Adaptyv Bio is a biotechnology and synthetic biology platform company headquartered in Lausanne, Switzerland. Founded in 2021 by Julian Englert and Daniel Nakhaee-Zadeh Gutierrez out of EPFL, the startup operates a cloud-connected, fully automated foundry for protein engineering and drug discovery. Operating on a B2B SaaS and bio-foundry assay-as-a-service model, Adaptyv Bio integrates cell-free protein expression, nanofluidics, label-free binding assays, and machine learning to enable generative AI models and biopharma researchers to design, synthesize, and experimentally validate novel proteins and antibodies at high throughput.

News

News adaptyvbio.com 2 months ago
Case study: Benchmarking Claude's protein designs in the wet lab
The Anthropic team wanted to benchmark the newest Claude models at protein design. They ran a suite of models in Claude Science to design protein binders against 16 targets and then sent them to our lab for experimental validation. The results show that C
Read more
Report
News adaptyvbio.com 2 years ago
Protein Optimization 101: Insights from the literature
For this technical blog post, we surveyed the state of the art of using ML for protein optimization. We focused on adaptive, cost constrained, and multi-objective methods and have summarized the best approaches for you.
Read more
Report

Tech stack

Technologies named in job postings at Adaptyv Bio over the last 12 months, by layer, with the share of postings for each.
Technologies in use
22
Postings analysed
39
Stack modernity
82/100AI adopter
Languages
Python41%
TypeScript18%
SQL3%
Frameworks & libraries
NumPy3%
PyTorch3%
Databases
PostgreSQL10%
Cloud & platforms
Anthropic8%
Supabase5%
GitHub3%
Grafana3%
AI & ML
Claude8%
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Full Adaptyv Bio tech stack 22 technologies · by team · pay by technology · changes · similar stacks

Growth

Hiring Momentum
59/100
Growing
Open positions
31
1 opened / 3 closed in 30 days
Median time-to-fill
108 days
faster than 13% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics +100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
22% ▼
Operations
22% ▼
Science & Research
22% ▲
DevOps
11% ▲
Management
11% ▼
Solutions
11% ▲
Activity Timeline
Added Machine Learning to stack Sep 2026
Added TCP/IP to stack Sep 2026
Added GitHub to stack Sep 2026
Added Slack to stack Sep 2026
Added LinkedIn to stack Sep 2026
Added SQL to stack Sep 2026
Added Anthropic to stack Sep 2026
New location: London Aug 2026

Offices

Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
Lausanne
Loading the map
Headquarters Builds here Office with open vacancies Tap a pin for the office
Lausanne Switzerland
HQ
Adaptyv Bio
23 open roles 4 posted in 90 days 61% engineering 50-200 est. staff
hires for Science & Research, Backend, Operations
Biopole Life Science Campus, Route de la Corniche 5, 1066 Epalinges, Lausanne, Switzerland
seen since Feb 2026 company site, job postings
London United Kingdom
Sales office
7 open roles 5 posted in 90 days 29% engineering 10-50 est. staff
hires for Backend, Operations, Management
seen since Feb 2026 job postings

Jobs

≈ $83k – $184k per year (Estimated) • In office • Full-Time • Lausanne
Python
AI Agents
Apply
≈ $82k – $188k per year (Estimated) • In office • Full-Time • London
Python
AI Agents
Apply
≈ $99k – $176k per year (Estimated) • Hybrid • Full-Time • Lausanne
Python
TypeScript
PostgreSQL
AI/ML
AI Agents
Apply
≈ $74k – $179k per year (Estimated) • In office • Full-Time • London
TypeScript
PostgreSQL
AI/ML
AI Agents
Apply
≈ $149k – $334k per year (Estimated) • Hybrid • Full-Time • Lausanne
AI Agents
Apply
≈ $91k – $196k per year (Estimated) • In office • Full-Time • Lausanne
Python
Claude Code
AI Agents
NumPy
Anomaly Detection
Apply
≈ $98k – $174k per year (Estimated) • In office • Full-Time • Lausanne
Python
TypeScript
PostgreSQL
Supabase
AI/ML
Claude Code
AI Agents
DevOps
TCP/IP
Apply
≈ $95k – $248k per year (Estimated) • Hybrid • Full-Time • Lausanne
Python
Diffusion Models
AI Agents
Apply
≈ $80k – $178k per year (Estimated) • In office • Full-Time • Lausanne
Python
TypeScript
Claude Code
AI Agents
Apply
≈ $100k – $176k per year (Estimated) • In office • Full-Time • Lausanne
TypeScript
PostgreSQL
AI/ML
AI Agents
Apply

Financials

Total raised
$40M
Latest round
Series A
Funding rounds
1
Funding rounds
Round Announced Amount
Series A 2026 $40M Details