Life Sciences AI & Digital Delivery

AI for regulated life sciences.
Built to be trusted.

We help pharma, medtech, hospitals and diagnostics vendors design, validate and ship AI systems and digital platforms, from proof-of-concept to production, with data isolation and regulatory-grade robustness as the default.

Bayer Takeda Octapharma Biognosys University Children's Hospital Basel European Congress of Radiology Angelini Deciphera Pharmaceuticals Denali Therapeutics Stallergenes Greer Alexion Lundbeck Microdul Metzgertreuhand Novocure P95

We connect science, compliance and technology.

Most vendors operate in one of these areas. Our engineers have worked inside all three for years, in Tier-1 pharma, university hospitals and biotech instrumentation.

Science

Medical-adjacent output demands source grounding, refusal patterns and evaluation harnesses. We build them in, not on top.

Compliance

Single-tenant infrastructure, SOC 2 environments, full audit trail. No prompts, responses or documents ever leave the tenant.

Technology

Full-stack coverage: LLM backends, RAG, enterprise commerce, niche CMS estates and modern frontends. No framework-of-the-month bias.

4Practice areas
16Named clients
20+Years, lead architect
0Data egress incidents

Architecture first. Always delivered.

We do not start with code. We start with your workflow, your data boundaries and the regulatory constraints your reviewers will actually apply.

  1. 01

    Discovery & feasibility

    Workshops with your medical, regulatory and marketing teams. Data inventory, tenant boundaries, model selection and honest scoping, validated before the first line of code.

  2. 02

    Architecture & compliance

    Isolated cloud (AWS Bedrock, Azure), single-tenant vector stores, citation-first UX and SOC 2 posture designed into the system. No surprises at validation.

  3. 03

    Delivery & continuous support

    The same senior architect from the first workshop through go-live. Then we stay on: ticket triage, quarterly technology reviews, ad-hoc architecture calls.

Four practice areas. One delivery team.

End-to-end delivery for life-sciences organisations: the visible AI work and the less visible work that keeps pharma marketing and sales running.

01 · AI & Pharma

AI implementations for pharmaceutical workflows

Dedicated LLM backends. RAG on closed knowledge bases, isolated cloud, zero external egress of trade secrets or medical data. Every generation ties back to a document ID and a retrieved passage.

  • RAG
  • AWS Bedrock
  • Anthropic API
  • OpenAI API
  • Vector search
  • Prompt engineering
02 · Legacy rescue

Rescuing critical systems on niche technologies

Take-over of at-risk CMS estates inherited without vendor handover or documentation. Containerised local builds within days, untangled core modifications, security-update path restored.

  • Contao
  • Weblication
  • Concrete5
  • MODX
  • Typo3
  • Docker
03 · E-commerce & integrations

Sales platforms wired into pharma CRM

Enterprise WordPress + WooCommerce with custom checkout, tiered pricing and region-gated content, integrated into Salesforce, Pardot, Veeva, Confluence and PubMed.

  • WooCommerce
  • Salesforce
  • Pardot
  • Veeva API
  • Elasticsearch
  • GraphQL
04 · Frontend & campaigns

Visual layer & cyclical marketing execution

Pixel-accurate redesign implementation, cyclical campaign landing pages on Angular and Vanilla JS, custom React and Vue components: configurators, calculators, resource libraries.

  • React
  • Vue
  • Angular
  • TypeScript
  • WCAG 2.2 AA
  • Design tokens

Where the work happens.

A cross-section of the organisations we have delivered for over recent years.

  • Global pharma
  • Medtech
  • University hospitals
  • Diagnostics
  • Proteomics
  • Lab instrumentation
  • Plasma products
  • Oncology therapeutics
  • Rare disease
  • Allergy immunotherapy
  • Pharmacoepidemiology
  • Medical congresses
  • CNS & neuroscience
  • Medtech components

Three AI platforms.
Built and operated by us.

Source-grounded content generation, a regulatory document platform and a medical-taxonomy segmentation engine, running in production for pharma and diagnostics clients. That is why we know what validation will ask before it asks.

Production Closed-knowledge-base content engine

Reymont Ground

Drafts emails, articles and social posts strictly from approved internal documents. OCR, PDF and DOC ingestion inside an isolated tenant. Every output cites the passage it came from, so hallucination risk is removed by design rather than by review.

  • Marketing & medical content teams
  • AWS Bedrock / Azure, single-tenant
  • Source citation on every generation
Request a demo →
Production Regulatory & evidence document platform

Reymont Dossier

Multi-tenant RAG over large document sets with several models behind one interface (Bedrock / Claude, OpenAI, Gemini). Modules for regulatory dossier generation, systematic literature review, medical-legal review and evidence-grid extraction.

  • Regulatory & medical affairs
  • Citation UI with confidence scores
  • SOC 2 environment
Request a demo →
Production Doctor & hospital segmentation engine

Reymont Atlas

Custom database and search engine that classifies doctors, hospitals and labs on medical taxonomy. Integrated into the storefront and CRM so segmentation is available where campaigns and deals are worked, with lead scoring on the same records.

  • Sales & marketing in diagnostics
  • Storefront + CRM integration
  • One pipeline, no spreadsheets
Request a demo →

We don't only advise.
We ship.

Selected work described by the problem it solved. Client names are available on request.

AI · Marketing & medical content

AI content generation from a closed knowledge base

Situation. Marketing and medical teams needed on-brand, source-accurate content at volume. Public LLM tools were ruled out for compliance and trade-secret reasons.

Outcome. Content teams draft from approved material only. No data leaves the tenant; every output cites its source.

Global pharma
AI · Regulatory & medical affairs

AI document platform for regulatory and evidence work

Situation. Regulatory, medical and evidence teams spent weeks on dossiers, literature reviews and medical-legal checks across spreadsheets and PDFs.

Outcome. AI-drafted regulatory text that stays traceable to its sources, reviewed inside one tool.

Pharma
Data · Sales segmentation

Doctor and hospital database for sales segmentation

Situation. Sales and marketing were segmenting customers in spreadsheets, with no shared taxonomy for doctors, hospitals and labs.

Outcome. One connected pipeline from catalog to campaign to opportunity. No side-loaded spreadsheets, no monthly manual sync.

Diagnostics & proteomics vendors
E-commerce · Integrations

Storefronts wired into the pharma CRM stack

Situation. Catalogs, pricing rules and regional restrictions had outgrown template e-commerce; the storefront was disconnected from CRM and marketing automation.

Outcome. Enterprise WooCommerce integrated with Salesforce, Pardot, Veeva, Confluence and PubMed. Lead handoff without manual steps.

Lab-instrument & diagnostics vendors
Legacy · Rescue

Rescue of critical systems on niche CMS stacks

Situation. Production systems inherited without vendor handover, local build or documentation. Core-CMS modifications had broken the update path.

Outcome. Containerised local builds within days. Contao, Weblication, Concrete5 and MODX estates patchable again, without a rebuild.

University children's hospital & specialty firms
Frontend · Campaigns

Redesigns and campaign pages on a marketing calendar

Situation. In-house marketing needed successive campaign landing pages and a full redesign, on a cadence most vendors underestimate.

Outcome. Release trains that keep up with marketing. Component reuse compounds, so each campaign costs less than the last.

Plasma products & medtech components

One team. Full-stack coverage.

Full-stack technical coverage across the areas that matter for life-sciences delivery. No single-language shop.

Backend & AI

  • OpenAI API
  • Anthropic API
  • AWS Bedrock
  • Python
  • Node.js
  • PHP
  • GraphQL
  • REST API
  • Prompt engineering

Frontend

  • React
  • Vue
  • Angular
  • Next.js
  • TypeScript
  • jQuery
  • Vanilla JS

CMS

  • WordPress
  • WooCommerce
  • MODX
  • Concrete5
  • Typo3
  • Contao
  • Weblication

Databases

  • MySQL
  • MongoDB
  • Redis
  • Elasticsearch
  • CosmosDB
  • DocumentDB

Cloud & DevOps

  • AWS EC2
  • AWS Lightsail
  • AWS S3
  • AWS Bedrock
  • Azure Blob
  • Linux
  • Docker

Integrations

  • Salesforce
  • Pardot
  • Veeva
  • Confluence
  • PubMed
  • MS Teams App
  • LibreOffice API

End-to-end delivery. Senior-led.

Long-standing engagements with pharma and hospital clients have shaped a way of working that leans on senior architecture, honest scoping and continuous handoff.

End-to-end system architecture

From proof-of-concept through production. Architecture ownership sits with one senior engineer, the same person from the first workshop through go-live.

One accountable team lead

Accountable for scope, capacity and quality. You speak to one person and get one plan, no matter how many engineers are on it.

Prompt engineering for medical systems

Source-grounding, refusal patterns for out-of-scope queries, medical-adjacent disclaimers and evaluation harnesses that track output quality across releases.

We stay on after launch

Ticket triage, quarterly technology reviews, ad-hoc architecture calls with your internal team. Zero drama, no re-selling.

Let's build something that passes validation.

Whether you are exploring an AI idea, need a legacy estate rescued or want a second opinion on architecture, we are here to help.

Get in touch

Company details

Company
BinarApps Sp. z o.o.
VAT ID
PL 7262653540
KRS
0000494507
REGON
101728315