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Basata

AI HealthcareVerified90% conf

AI-powered platform that streamlines healthcare referral processes and administrative workflows

basata.ai

📍 Phoenix, Arizona

Verified Data

💰
Est. Revenue$2M-$5M ARR

Based on $21M Series A funding, 37x revenue growth in 2025, serving 500K+ patients, and typical B2B SaaS metrics for healthcare automation platforms post-Series A

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Funding$24.5M total ($21M Series A from Basis Set Ventures)
🔗prnewswire.com
📊
Monthly Traffic<10,000 monthly visits

Estimated <10,000 monthly visits (New B2B platform)

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Users500,000+ patients served
🔗x.com
🧑‍💻
Team Size15-20 employees

~15-20 employees (Estimated based on growth and Series A)

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Growth37x contracted revenue growth in 2025
🔗tamradar.com
🏷️
StageSeries A (May 2026)
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Founded2024

Company Profile

ModelB2B SaaS
VerticalHealthcare, Medical practices
ClientsTri-City Cardiology, Phoenix Heart
BuyersSpecialized medical practices in cardiology, urology, and gastroenterology requiring high-volume referral and administrative management
PricingCustom pricing based on practice size and volume

Contact

Strategic Analysis

Strategy

Targeting the $1T operational layer of American healthcare by automating administrative workflows that create patient care bottlenecks. Focus on specialty practices (cardiology, urology, gastroenterology) where referral backlogs are most acute. Land-and-expand model starting with referral processing then expanding to full practice automation.

Tactics

Direct sales to specialty medical practices with custom pricing based on volume. Deep EHR integrations (Epic, Cerner, athenahealth) to embed into existing workflows. AI voice agents handle patient communications and scheduling. HIPAA-compliant infrastructure to meet healthcare compliance requirements.

Competitive Positioning

Differentiates from general healthcare automation tools by focusing specifically on the referral gap problem that affects specialty practices. Positions as the solution to the administrative burden that prevents specialists from calling patients back, rather than competing on general practice management features.

Marketing Approach

Direct outreach to specialty medical practices highlighting the referral backlog problem. Case studies from early customers like Tri-City Cardiology and Phoenix Heart. Focus on ROI messaging around patient volume and administrative efficiency gains. Healthcare industry conference presence and medical practice association partnerships.

Notable

37x contracted revenue growth in 2025, served 500,000+ patients, processes 100k referrals monthly

🔗 Source ↗

Tech Stack

AI AgentsPythonPythonNode.jsNode.jsHIPAA-compliant cloud infrastructureEpicCernerathenahealtheClinicalWorksNextGen integrations

Recent News

Related AI Healthcare Companies

Discovery Sources

Signals

web traffic<10,000 monthly visits

Estimated <10,000 monthly visits (New B2B platform)

growth rate37x contracted revenue growth in 2025🔗 source ↗
team size15-20 employees

~15-20 employees (Estimated based on growth and Series A)

user count500,000+ patients served🔗 source ↗
funding raised$24.5M total ($21M Series A from Basis Set Ventures)🔗 source ↗
trend indicatorAutomation🔗 source ↗
trend indicatorVenture Capital🔗 source ↗
trend indicatorStartups🔗 source ↗
trend indicatorHealthcare🔗 source ↗
trend indicatorAI🔗 source ↗
funding raisedraised $21🔗 source ↗

Evidence

techcrunch.com

Revenue model is usage-based: practices pay per document processed and per call handled, rather than per seat.

prnewswire.com

$24.5M total ($21M Series A from Basis Set Ventures)

x.com

500,000+ patients served

tamradar.com

37x contracted revenue growth in 2025