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DataDrill

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Big Data, AI, Data Engineering

DataDrill is a data engineering partner built exclusively for life sciences. Founded in 2022 in Novi Sad, we help CROs, pharma, biotech, and digital health teams unify fragmented data, cut manual reporting, and make clinical and operational workflows audit-ready by default.

Four core capabilities:

  • Min project size
    $10,000+
  • Hourly rate
    $25 - $49 / hr
  • Employees
    10 - 49
  • Locations
    Novi Sad, Serbia
  • Year founded
    Founded 2020

Overview by:

Reviewer avatar
Stefan Tofilović
CEO About the Team

1 Locations

  • Novi Sad , Serbia

Service Lines
Custom Software Development
25%
AI Development
20%
API Development
20%
Web Development
20%
Generative AI
15%
Select Focus Area
AI Expertise
Natural Language Processing
45%
Chatbots & Conversational AI
30%
AI Recommendation Systems
25%
Application Platforms
Linux server
80%
Azure Platform
10%
Other app platform
10%
AI Technologies & Models
Open AI GPT-3
60%
Anthropic
20%
Cohere
10%
Open AI Dall-E 2
10%
API Type
REST API
100%
Frameworks and CMS
Django
40%
NextJS
30%
.NET
10%
GatsbyJS
10%
React
10%
Generative AI Focus
AI Text Generation
75%
AI Image Generation
15%
AI Code Generation
10%
Programming & Scripting
JavaScript
40%
Python
40%
ASP.NET
10%
Other programming & scripting languages
10%
Industries
Medical
80%
Information technology
10%
Other industries
10%
Clients
Enterprise (>$1B)
70%
Small Business (<$10M)
30%

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Our Story

Our mission is to make sense of complex life science data. DataDrill was founded in 2022 to give CROs, pharma, biotech, and digital health teams a data engineering partner that actually understands clinical and regulated environments. We embed with client teams, start with a focused pilot, and expand only when the numbers earn it. We value pragmatism over pitch decks, transparency over tidy narratives, and outcomes over activity.

Meet the Team

Stefan Tofilović

Stefan TofilovićCEO

Stefan founded DataDrill in 2022 and leads the company as CEO. He sets strategy, stays close to senior client relationships, and keeps the team focused on one thing: building data engineering that life sciences organizations actually need.

What Sets Us Apart

Life sciences is all we do

We do not moonlight as a generalist dev shop. Every engineer, every engagement, every case study sits inside life sciences, whether it is clinical operations, market access, or digital health. That focus cuts onboarding and means we already speak your language on day one.

Embedded, not at arm's length

We plug into your team instead of throwing deliverables over a wall. Your data engineers, clinical leads, and product owners work alongside ours in the same sprints, the same standups, the same channels. Outcomes align because incentives align.

Tools and Technology

AWS
Kubernetes
Terraform
GitLab
Microsoft Azure
Azure DevOps
Power BI
Confluence
Typeform

Commonly Asked Questions

DataDrill works exclusively with life sciences and health data. Our core clients are contract research organizations (CROs), pharmaceutical and biotech companies, and digital health platforms. We do not take on work outside life sciences, which is why we can move fast on clinical, operational, market access, and regulated data problems without a long onboarding curve.

We deliver across four areas: data engineering and custom software development, DevOps and scalable cloud architecture, rapid product development with validated MVPs, and AI and machine learning applications tailored to clinical and operational data. Typical engagements include clinical data integration, cloud migration and consolidation, sponsor-ready dashboards, and AI assistants for large scientific datasets.

Most engagements start with a focused 4 to 6 week pilot. We run a discovery workshop to clarify pain points, stakeholders, and success criteria, draft a scoped statement of work, then build a working prototype against real client data. If the pilot earns the next phase, we scale into full production delivery. If it does not, the engagement ends there.

We design for audit-readiness by default: traceable data flows, environment separation, role-based access, infrastructure as code for reproducibility, monitoring, and documentation aligned with client quality standards. The specific compliance framework is scoped with the client during discovery and baked into every pipeline, integration, and architecture decision from day one.

Yes. We scale delivery to the organization. Large CROs and pharma teams typically need platform consolidation, post-merger infrastructure work, sponsor-facing dashboards, and enterprise-scale integrations. Smaller biotechs and digital health teams more often need compliant MVPs, CRO oversight tools, and lean data pipelines built fast.

Locations (1)

Valentina Vodnika 21a Novi Sad, Serbia 21101

10 - 15

Contact DataDrill

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