Tellius

AI decision-intelligence platform with natural-language analytics, used by pharma commercial and market access teams.

Tellius, founded in 2016 and headquartered in Reston, Virginia, provides a decision-intelligence platform combining natural-language search, automated insight discovery, and machine learning over enterprise data, with life sciences commercial analytics — brand performance, patient journey, market access — among its primary verticals. The company announced SOC 2 Type II in 2023 and has raised roughly $36 million through Series B. It is a horizontal analytics platform rather than pharma-specific software, so validate life-sciences data model depth during evaluation.

Headquarters
Reston, United States
Founded
2016
Compliance
SOC 2 Type II
Deployment options
cloud
Website
https://www.tellius.com
LinkedIn
https://www.linkedin.com/company/tellius

Categories

AI Use Cases

  • Patient Identification & Segmentation

Vendor Scorecard

71% — Complete coverage. Coverage score — how completely Atlas documents Tellius across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Documented

SOC 2 Type II

Deployment & Hosting — Documented

cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Mid-Size Biotech, Large Pharma, Top 20 Pharma, Commercial, Data Management

Solution Scope — Documented

Natural Language Processing

Company Viability — Documented

Series B, $36.1M raised, Founded 2016

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • What pharma commercial data models ship out of the box?
  • How do natural-language queries handle claims and prescribing data?
  • What period does the SOC 2 Type II report cover?
  • How does it complement or replace our existing BI stack?