Uniscience, Unified Science Technology

Complex science.Engineered into software.

AI, data and cloud platforms for research-driven companies. Designed by scientists, built by engineers, in one unified team.

Start a project How we work
Products shipped
250+
End users
40M
Countries
12

Turn your research into production software, guided by real scientists.

  • Prototype AI models on your own data
  • Build scalable data & cloud platforms
  • Ship web and mobile products
  • Validate every release with domain experts
  • Integrate with existing lab & business systems
  • Scale from pilot to global production
01Approach

One hypothesis.One team.Endless impact.

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Two scientists in lab coats working at computers in a research laboratory
Research and engineering at one benchFIG. 01

Built by scientists,
for scientists

Our teams pair PhD researchers with senior engineers, so every product is designed by people who understand both the science and the software.

Domain-specific
intelligence

We encode decades of research practice, regulation and real lab workflows into the models, pipelines and tools we build.

Product-grade
engineering

Clean architecture, automated testing and observability by default: software that survives contact with real users and real data.

Seamless
integration

We connect to your instruments, LIMS, ERPs and clouds, extending the systems you rely on instead of replacing them.

02Capabilities

What we
build

Eight disciplines under one roof. Every squad combines domain scientists, ML engineers and product designers, so nothing gets lost in translation.

  1. Custom models for prediction, vision and optimisation. Trained on your data, evaluated against your scientific baselines and deployed with full MLOps.

03Use cases

What we
solve

We start with a specific scientific or operational problem and engineer software that solves it: measurably, and in production.

Close-up of microscope objective lenses above a sample slide
From the sample to the systemFIG. 02
  • Automated analysis of
    lab instrument data
  • Protein & molecule
    property prediction
  • Clinical trial
    data pipelines
  • Real-time sensor
    anomaly detection
  • Research knowledge-base
    copilots
  • Simulation workflows
    on cloud GPUs
  • Genomics variant calling
    at scale
  • Demand & yield
    forecasting models
  • Digital twins for
    manufacturing lines
  • Regulatory documents
    generated from templates
  • Image-based quality
    inspection
  • Field-data apps
    for researchers
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project
04Industries

Industries
we serve

Twelve domains, one method. Wherever complex data meets demanding users, our teams already speak the language.

  1. Life Sciences01
  2. Biotechnology02
  3. Pharmaceuticals03
  4. Healthcare & MedTech04
  5. Genomics05
  6. Climate & Energy06
  7. Materials Science07
  8. Agritech & Food08
  9. Aerospace09
  10. Advanced Manufacturing10
  11. Fintech & Quant Research11
  12. Universities & Research Labs12
Uniscience, Unified Science Technology
05Process

From hypothesis
to production

A scientific method for building software: transparent, evidence-driven, and fast. You always know what we are building and why.

  1. Step 01 · Understand

    Discover

    We immerse ourselves in your domain, data and users, then agree the outcomes, risks and target architecture.

    Deliverables

    Weeks 1-2
    • Stakeholder and user interviews
    • Data audit and feasibility study
    • Architecture and delivery roadmap

  2. Step 02 · Validate

    Experiment

    Hypotheses become working prototypes. We prove models and UX against real data before anyone commits budget.

    Deliverables

    Weeks 3-5
    • Working prototype on real data
    • Model benchmarks against baselines
    • Validated user flows

  3. Step 03 · Build

    Engineer

    Senior squads ship in two-week increments, with automated testing, CI/CD and a live demo every sprint.

    Deliverables

    Month 2 onward
    • Production-grade codebase
    • CI/CD, tests and observability
    • Sprint reviews every two weeks

  4. Step 04 · Grow

    Scale

    We launch, observe and optimise, then hand over to your team or keep evolving the product together.

    Deliverables

    Ongoing
    • Launch and hypercare
    • Performance and cost optimisation
    • Handover or continued evolution
Products shipped
0+
Client retention
0%
End users served
0M
Countries
0
Technician in a clean-room suit operating laboratory automation equipment
Validated in real labs, not just in stagingFIG. 04
06Client stories
“Uniscience took our research models from notebooks to a production platform in ten weeks. Our scientists finally have tools that keep up with them.”
Dr. Amara Okafor · Head of Computational Biology, Helix Labs
07FAQ

Questions,
answered

Research-driven startups, scale-ups and enterprise R&D groups in life sciences, climate, materials, manufacturing and finance: wherever complex data meets demanding users.

Ready to run
your next
experiment?

08Contact

Tell us about your challenge. In a free 30-minute session our principal engineers will map out an approach, timeline and budget, with no strings attached.

Start a project Book a call
info@uniscience.io
v1.0 · Shipped