Syntic
Biotech & Pharma

Super Intelligence for science.
Built around your research.

Explore scientific research, literature analysis, data workflows and custom AI development. Deployment, intellectual-property rights and training arrangements are agreed per engagement.

Scientific workflows Custom engagement options
A scientist pipetting samples in a research lab
Where Syntic helps

One partner,
target to filing.

Proprietary data can provide valuable scientific context. Model performance depends on data quality, task requirements and independent evaluation.

01

Discover

From target to candidate

  • Target identificationLiterature, omics and internal assays triangulated into evidence-graded target landscapes.
  • Molecular generationCandidates prioritised against your binding, ADMET, synthesis and IP constraints.
  • ADMET & safetyEarly flags from your assay history, before expensive in vivo studies.
02

Research

From papers to a plan

  • Literature synthesisPapers, patents and trial readouts in a ranked landscape. Every claim cited.
  • Experiment designMechanisms, experiments and the controls a reviewer would ask for.
  • Lab & assay dataStructure-activity relationships surfaced and written up with linked data.
03

Develop & file

From hypothesis to filing

  • Regulatory draftingINDs, CSRs and agency responses, first-drafted with tracked rationale.
  • Trial operationsDeviations, monitoring summaries and site communications, fully audited.
  • Regulatory intelligenceGuidance changes across FDA, EMA and other authorities routed to your team.
How we work

A program,
not a subscription.

Each engagement is scoped to your modality, data, program stage and regulatory milestones.

  1. 01

    Scope

    Define scientific goals, data readiness, project scope, delivery timeline and pricing together.

  2. 02

    Build

    Assess a suitable model approach, development plan and deployment requirements.

  3. 03

    Deliver

    Agree on deliverables, evaluation criteria, deployment and ownership terms.

  4. 04

    Partner

    Discuss ongoing evaluation, maintenance and retraining where appropriate.

Compliance & IP

Your IP boundary,
from day one.

Scoped to your environment, your regulations and your jurisdictions — with your QA team from kickoff.

Review the security pack →
  • Define data use and model training restrictions in your agreement
  • Agree on model and weights ownership per engagement
  • Review audit and GxP requirements with your quality team
  • Assess applicable 21 CFR Part 11 requirements
  • Define validation deliverables during scoping
  • Confirm appropriate contractual safeguards
Who we work with

Scoped to the science,
not the company size.

BiotechsRunning a first IND faster than the runway allows.
Top-20 pharmaExtending an internal AI roadmap to proprietary-data programs.
CROsDelivering sponsor work with the IP boundary intact.
Academic spinoutsNovel modalities and data nobody else has.
Biotechs, pharma, CROs & spinouts

Explore AI for your next research milestone.

Start with a scoping discussion. Timelines, pricing and deliverables are agreed per engagement.