TelomisBuild an experiment

Experiment Intelligence for Life-Science R&D

From scientific question to experiment.

Describe what you want to test. Telomis turns it into a structured experiment: design, controls, critical parameters, step-by-step protocol, materials, troubleshooting and optional sourcing.

Build an experiment See how it works

Start from an idea, paper, existing protocol or DOI.

Experiment BriefChecked

Does doxorubicin reduce viability in PC3 cells?

Goal
Dose-response of viability
Model
PC3 cells
Assay
MTT
Endpoint
Viability (% of vehicle)
Control
Vehicle control
Replicates
n = 3
2 issues found · 2 decisions before Ready to Run
Protocol readyMaterials 12/14 readyCost optional

01One sentence → a structured experiment

Tell Telomis what you want to learn.

It turns the question into an experiment you can inspect, challenge and run.

Example question

“Does doxorubicin reduce viability in PC3 cells?”

Experiment Brief

PC3MTTdose-responsevehicle controln=3

Scientific Challenge

2 issues found

Readiness

Checked · 2 decisions before Ready to Run

02The problem

The problem is not a lack of information.

It is turning scattered information into a defensible experiment.

Researchers move between papers, protocol repositories, vendor catalogs, spreadsheets, notebooks and general AI just to decide what to run. Telomis connects those decisions into one experimental workflow.

  • Papers
  • Protocol repositories
  • Vendor catalogs
  • Spreadsheets
  • Notebooks
  • General AI

$28B lost each year to irreproducible preclinical research in the US.

Freedman et al., PLOS Biology, 2015.

03How it works

Define → Design → Challenge → Prepare → Run & Learn

  1. 01

    Define

    Describe the scientific question or paste a source.

  2. 02

    Design

    Telomis structures groups, controls, readouts and critical parameters.

  3. 03

    Challenge

    It checks what is missing, inconsistent or likely to weaken the result.

  4. 04

    Prepare

    Get the executable protocol, required materials, lab match and optional sourcing.

  5. 05

    Run & LearnIn development

    In development: guide execution, capture what happened and use the result to design the next experiment.

04Scientific Challenge

Catch the problem before it becomes a failed run.

Telomis does not just generate a protocol. It challenges the experiment.

Missing controls. Undefined critical parameters. Readout incompatibilities. Weak success criteria. Unnecessary complexity. Every finding tells you why it matters and what to change.

Scientific Challenge2 things need your attention
Missing control

No untreated control to set 100% viability.

Why it matters: without it, the dose-response has no reference point.

Change: add an untreated arm alongside the vehicle control.

Undefined critical parameter

The MTT incubation time is not set.

Why it matters: it decides whether the signal stays in the readable range.

Change: set one incubation time and keep it the same across all wells.

Experiment BriefChecked

Does doxorubicin reduce viability in PC3 cells?

Goal
Dose-response of viability
Model
PC3 cells
Assay
MTT
Endpoint
Viability (% of vehicle)
Control
Vehicle control
Replicates
n = 3
2 issues found · 2 decisions before Ready to Run

05Experiment Brief

Understand the experiment in 30 seconds.

Scientific question. Hypothesis. Design. Primary endpoint. Critical parameters. Readiness.

Telomis gives the experiment a structure before it gives you more text.

06Protocol

A protocol you can actually run.

The approved design becomes a step-by-step procedure with volumes, concentrations, timing, equipment, checkpoints and provenance.

When Telomis proposes a value instead of reading it from a source, it says so.

02 · Treat cells3 actions

  1. Add doxorubicin to each treatment well at its assigned concentration.

    VOLUME 100 µLUSER

  2. Incubate the plate before adding MTT.

    TEMP 37 °CTIME 48 hLITERATURE

  3. Read absorbance after solubilising the formazan.

    READOUT 570 nmPROPOSED

Checkpoint · vehicle wells read inside the linear range.

Materials readiness12/14 ready
  • Already in My Lab9
  • Compatible substitute in My Lab3
  • Missing, must source1
  • Must verify before use1

07Materials + My Lab

Know what you need and what you already have.

Telomis derives scientific material requirements from the experiment, matches them against My Lab, checks compatibility, and shows what is still missing.

Protocol defines the requirement. My Lab checks availability. Sourcing comes after the science.

08Cost & Sourcing

Buy only what the experiment actually needs.

For missing materials, Telomis can resolve compatible products, compare suppliers and estimate the additional purchase required.

Scientific compatibility comes before price.

ExperimentProtocolMaterials / My LabCost & Sourcing · optional

Worked example · Feldman, Funk et al., Nature Protocols 2022Resolved

An optical pooled screening protocol: 11 stages, 140+ materials, each line traced to the source and resolved to a catalog number.

  • KAPA HiFi HotStart ReadyMixRoche · KK2602
  • FastDigest Esp3IThermo Fisher · FD0454
  • Ampure XP SPRI beadsBeckman-Coulter · A63881
  • Phi29 DNA polymeraseThermo Fisher · EP0091

View the resolved protocol →Read the source paper →

09Run → Result → Next experiment

The experiment should not end at the protocol. Roadmap

Telomis is being built to stay with the experiment: guide the run, capture deviations and results, help troubleshoot what went wrong, and turn the outcome into the next experiment.

Every run should make the next one faster.

Works now

  • Input from idea / paper / protocol / DOI
  • Experiment overview / design structure
  • Protocol generation
  • Materials resolution / My Lab
  • Scientific checks
  • Vendor sourcing where reliable

In development

  • Run Mode
  • Automated outcome interpretation
  • Result → next experiment loop
  • Cross-lab outcome priors
  • Network-level paper reproducibility detection
  • Autonomous experiment execution

10My Lab / Laboratory Memory

Your lab should not start from zero every time.

My Lab is evolving from inventory into laboratory memory: equipment, available materials, validated parameters, preferred workflows and previous experiment context.

The fifth run should be easier to set up than the first.

11Who it’s for

Built for the people who design experiments.

Researchers & PhD teams

Move from literature to a defensible experiment faster. Catch missing pieces before bench work and keep the reasoning with the protocol.

Academic labs & CROs

Standardize how experiments are designed, prepared and repeated across people, without losing local lab context.

Biotech & R&D teams

Private experiment intelligence, shared lab memory and reproducible workflows for teams that cannot afford repeated avoidable failures.

12Why it’s different

Not another chat window.

General AI can explain a method. Protocol repositories can store a method. Telomis structures the experiment around scientific decisions, executable parameters, materials, provenance and lab context.

CapabilityGeneral AIProtocol repositoryTelomis
Question → designAd hocNoCore workflow
Scientific ChallengeAd hocNoStructured
Executable protocolTextStored procedureExperiment-linked
Materials / My LabManualLimitedIntegrated
Vendor sourcingManual linksNoOptional downstream layer
ProvenanceInconsistentSource-levelPer parameter / decision
Result → next experimentAd hocNoProduct direction

13Trust

Know why Telomis chose it.

Recommendations should be attributable to their origin: USER, LITERATURE, MANUFACTURER, LAB or PROPOSED.

USERLITERATUREMANUFACTURERLABPROPOSED

Unknown values stay unknown. Assumptions are visible.

14Team

Three co-founders, building from the bench up.

Maciej Łach, Co-Founder of Telomis

Maciej Łach

Co-Founder

Biophysicist and PhD researcher in materials engineering with hands-on wet-lab and medtech experience. Focused on translating scientific workflows into products researchers can actually use.

Jagiellonian UniversityCracow University of TechnologyAptamedicaAptamedica
LinkedIn

Mateusz

Co-Founder

Biophysicist working across bioinformatics, computational biology and LLM research, with experience building scientific software and AI-driven workflows.

Jagiellonian University
Andrzej Bachleda-Curuś, Co-Founder of Telomis

Andrzej Bachleda-Curuś

Co-Founder

Stanford CS/AI + Mathematics. Builder of AI products with experience in startups, engineering and the Stanford entrepreneurial ecosystem.

Stanford UniversityStanford BASES
LinkedIn

Bring a real experiment.

Describe what you want to test, or paste a paper, protocol or DOI.

Telomis will structure the experiment and show you what is missing before you run it.

Build an experiment Book a 15-minute call

Questions? contact@telomis.com