ODAIA helps pharma commercial teams cut through fragmented data to find the opportunity they're missing — the HCPs worth prioritizing, the channels worth investing in, and the moments that matter across the patient journey. Field Intelligence, Marketing Intelligence, and Omnichannel bring this together in one platform, turning HCP and patient signals into real-time guidance that reps, marketers, and brand teams can act on directly within the systems they already use…
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Turning HCP and patient signals into the actions pharma commercial teams take next.
Full company description
ODAIA helps pharma commercial teams cut through fragmented data to find the opportunity they're missing — the HCPs worth prioritizing, the channels worth investing in, and the moments that matter across the patient journey.
Field Intelligence, Marketing Intelligence, and Omnichannel bring this together in one platform, turning HCP and patient signals into real-time guidance that reps, marketers, and brand teams can act on directly within the systems they already use.
Leading biopharmaceutical companies — including four of the top 15 global organizations, use ODAIA to move from static targeting to dynamic, signal-based decision-making, adapting strategy as markets shift and driving measurable results in HCP prioritization, pre-call planning, and commercial ROI.
The end goal isn't more activity — it's getting patients to the right treatment sooner. Everything ODAIA does is built around that.
LinkedIn followers
23,221
People associated on LinkedIn
110
Reported office locations
150 King Street West, Suite 702, Toronto, ON M5H 1J9, CA
359 Newbury Street, Suite 500, Boston, MA 02115, US
Business categories
Artificial Intelligence
Software
Biotechnology
Artificial Intelligence (AI)
Machine Learning
Other recorded names
Odaia Intelligence Inc.
ODAIA
Specialties
pharma sales
artificial intelligence
sales automation
saas
Customer Science
AI
ML
HCP Engagement
Pharma Actionable Insights
HCP Targeting
Predictive Analytics
Commercial Pharma
Customer Experience
Pharma Innovation
and Machine Learning
Profile identifies a recruitment agency
No
Reported total investment
43,350,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
6+ YOECandidates need 6+ years of professional software development experience, including leading a project with limited supervision. They need deep React and TypeScript skills, experience running production APIs and backend services, and a track record of mentoring engineers.
6+ YOECandidates need 6+ years of data migration and ETL experience, 6+ years with Snowflake and AWS, and strong Python and SQL skills. Life sciences or pharma experience, with tools like Veeva Vault or Salesforce, is a strong asset.
3+ YOECandidates need 3+ years of professional software development experience across frontend and backend, with strong React and TypeScript skills. They also need experience building APIs in Python or TypeScript, integrating third-party APIs, and working with distributed systems concepts.
3+ YOECandidates need at least 3 years of data migration and ETL experience and 3 years with Snowflake and AWS or similar cloud data tools. Strong Python and SQL skills, API experience, and clear communication with technical and non-technical people are required; life sciences experience is an asset.