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Your antibody. Designed in 6 weeks.

We design developable antibodies using AI in under 6 weeks, wet-lab validated in 9 weeks, from your antigen sequence. No immunisation, no phage display, no animal.

Receive a feasibility study on your antigen - for free

Are you struggling to generate reliable and precise antibodies?

Are you frustrated by the complexity and difficulty of generating precise antibodies against your targets?

Are you tired of time-consuming antibody discovery campaigns and betting on uncertain results?

Are you part of the many labs suffering from the lack of reproducibility?

If you answered yes to at least one of those questions, take a moment to read on to discover how EVOBodies™ can bring you more confidence.

Developability, before the antibody exists

We design inside the clinical envelope

CDR loops are the loops that grip the target; VH–VL charge is whether the two chains pull on each other. Natural repertoire: 500 antibodies, naive B cells of one healthy donor. Reached the clinic: 246 antibodies.

Share of antibodies outside the clinical envelope

The envelope is where the antibodies that reached the clinic sit: their 5th to 95th percentile on each measure. By construction, only 5 to 11 % of them fall outside it.

On CDR loop length (31 %) and Hydrophobic surface (22 %), the natural repertoire goes beyond it; on the other measures it does not.

Better leads, faster iteration cycles

We generate sequences inside that envelope, and we hold one variable low throughout: the charge on the face that grips your target. Across 239 clinical antibodies, the least charged fifth carries a developability flag 14 times less often than the most charged.

Measured on 239 clinical antibodies (GDPa1 v1.2, Ginkgo Datapoints, CC BY 4.0). Developability limits after TAP2 (Commun Biol 2024).

Stop screening, start deciding

Sequences that leave the envelope are redesigned, not discovered in purification. And the charge on the face that grips your target tells you which wet-lab assay to run first.

The numbers behind this figure
Share of 239 clinical antibodies carrying at least one developability flag, by surface charge on the CDR face.
AssayLeast charged fifthMost charged fifth
PR_Ova — polyréactivité0%25.6%
HAC — liaison à l'héparine0%26.1%
AC-SINS pH 7,42.1%29.8%
PR_CHO — polyréactivité2.8%20.5%
Share of each set inside the clinical envelope, metric by metric, cumulative.
Metrics appliedNaturalClinical
none100%100%
1 — up to total CDR length68.8%91.1%
2 — up to hydrophobic surface patches54.4%82.5%
3 — up to positive charge patches53%78.5%
4 — up to negative charge patches51%74%
5 — up to VH/VL charge symmetry48.6%71.1%
Share of each set outside the clinical envelope, measure by measure: what the radar draws. The clinical set sits outside its own envelope 5 to 11 % of the time by construction (the envelope is its 5th to 95th percentile).
MeasureNatural repertoireReached the clinic
CDR loop length (total CDR length)31.2% (156 of 500)8.9% (22 of 246)
Hydrophobic surface (hydrophobic surface patches)22% (110 of 500)10.6% (26 of 246)
Positive charge (positive charge patches)2.8% (14 of 500)5.3% (13 of 246)
Negative charge (negative charge patches)4.2% (21 of 500)5.3% (13 of 246)
VH–VL charge (VH/VL charge symmetry)3.6% (18 of 500)5.3% (13 of 246)
  • Retrospective stratification on the set that defines its own deciles: among clinical antibodies, those with a low-charge CDR face carry a flag less often. Not yet an out-of-sample prediction.
  • Developability flags do not predict clinical approval: discontinued antibodies carry 0.76 flags on average against 0.95 for active ones. We make no claim on clinical outcome.
  • Surface charge is computed from ABodyBuilder3 models; thresholds depend on the modelling tool and are set on our own reference set.
  • Absolute values are on our own scale, not TAP's: TAP's exact distance kernel is not published. Only positions relative to the clinical set are meaningful.
  • The natural comparator is one healthy donor's naive repertoire.
  • Developability flags do not predict clinical approval, and we make no such claim here.
  • five axes after TAP (Raybould et al., PNAS 2019) and TAP2 (Commun Biol 2024) · ABodyBuilder2 (Abanades et al., Commun Biol 2023), both sets · clinical set: GDPa1 v1.2, Ginkgo Datapoints (CC BY 4.0) · natural set: Observed Antibody Space (CC BY 4.0) — Jaffe et al., Nature 2022, naive B cells, one healthy donor

Figure shown at its final state.

How it works

Three ways to start with us

  • You have an antigen you need to target, with or without an epitope

    Let's design your antibody by de novo protein design, from your antigen sequence, with anticipated developability.

  • You have a reference sequence of your antibody

    We design your antibody around an existing sequence for higher diversity, developability, or for jumping to freedom to operate informed by prior art.

  • You already have antibody candidates

    Share the sequences with us and tell us what is your objective: we check developability, specificity, and improve yield and thermostability before you commit to scale-up.

  1. Kick-off + feasibility

    Days (free)

  2. Prototyping

    2 weeks

  3. Generative design & candidate selection

    3-4 weeks

  4. Wet-lab validation + QC

    up to 3 weeks

Engagement is progressive. You never commit to the next step before the previous one has been a success either for the generation, redesign or developability check.

Developability profile

Computed before synthesis

  • Sequence AInside the envelope on all five metrics
  • Sequence BOutside on CDR loop lengthNot disqualified: one to look at harder
CDR loop lengthHydrophobic surfacePositive chargeNegative chargeVH–VL charge
Two sequences from a natural repertoire, measured the same way as the 246 antibodies that reached the clinic. Shaded: the clinical envelope. Centre to edge: position among those 246.

See it in action

  • Our technology

    We start from a validated antibody, already screened for liabilities, and design the CDR loops that grip your target

  • Case studies

    Candidates designed by computation, produced and tested, with SPR measurements on IL-7Rα, PD-L1 and PMVK

  • All services

    Nanobody, antibody, miniprotein binder and peptide discovery, de novo design and humanization

  • Scientific notes

    Practical answers on de novo VHH design, patent freedom to operate, antibody formats and developability

  • About us

    Who we are: the team behind AI-designed antibodies and nanobodies, validated at the bench, from your antigen sequence

The data behind our system

Our sources

  • Clinical-stage antibodies
  • Natural antibody repertoire
  • Published developability metrics
  • Published structure predictors

What it rests on

  • 246antibodies that reached the clinic
  • 500natural antibodies, naive B cells of one healthy donor
  • 3independent structure predictors, so no single model decides
  • 6Bparameters in ESMC, the language model behind ESMFold2

5 developability metrics, measured the same way on both sets

What you receive

Ranked sequences with the epitope each engages, and a developability profile per candidate.

Each number in your report is attributable, so your team can check it.

  • Private by design

    Your sequences and your target data serve your project, and nothing else.

  • Complete ownership

    You keep all rights to the antibodies we design for you.

  • 6 weeks

    From your antigen to designed sequences.

  • 9 weeks

    To wet-lab validation of the candidates.

Start designing better antibodies

We design developable antibodies using AI in under 6 weeks, wet-lab validated in 9 weeks, from your antigen sequence. No immunisation, no phage display, no animal.

Some of our clients, wet-lab, R&D and computing partners

  • Diasource
  • Sagitta
  • CER Group
  • Livedrop
  • Synthelis
  • Twist
  • Welri
  • Cenaero LUCIA

Frequently asked questions

What is the expected timeline from our first conversation to delivery?

After our first discussion, we'll produce your free feasibility study in days, showing the confidence score for the next phases. Once you decide to move forward, you'll receive your designed antibody sequences after 6 weeks, wet-lab validated molecules from 9 weeks.

What starting material do I need to send you ?

Antigen sequence is enough.

How can I be confident this will work for my antigen ?

Every project starts with a free feasibility study, run before any commitment. We score your target from its 3D structure and tell you how much confidence we can have in generating antibodies against it. If that confidence is low, we say so plainly and we don't move forward, at no cost to you.

What is the background of IMMUNOCHEM?

Immunochem was founded in 1998 and spent its first two decades supplying high-quality research antibodies, with a speciality on small molecules. Since 2023, the company focuses on antibody discovery and generation by computational design, backed by wet-lab validation.

How to produce substantial amounts of antibodies in scale-up phase ?

Whatever the format (mAb, or single-domain antibody such as a nanobody or VHH), Immunochem delivers research-grade material and transfers the validated sequence and expression construct if appropriate. Gram-scale production runs with contract manufacturers.

Is the service available for my country?

The design work is computational and delivered digitally, so we serve customers worldwide from Belgium. Shipment of synthesised molecules follows standard research-reagent export rules, and no restriction applies in the European Union, the United Kingdom, Switzerland, the United States, India or China.