Referral Intake Overload Delays Patient Care

Specialty practices receive hundreds or thousands of referrals, mostly via fax, overwhelming small admin teams. This creates massive backlogs: primary care referrals often go unanswered for weeks, with patients lost not due to lack of doctors but administrative bottlenecks. Founders' personal stories highlight the issue—one founder's wife faced delays despite his cardiology expertise; another's father got responses post-surgery or never. Result: wide 'care gaps' despite abundant specialists and treatments.

Basata's End-to-End AI Workflow for Specialties

Basata automates the full referral-to-scheduling pipeline, starting with OCR and AI to read faxes, extract clinical data, and trigger an AI voice agent that calls patients immediately to book appointments. Patients can also call anytime for refills or questions via AI. Integrates directly with specialty-specific EMR systems (cardiology first, then urology), avoiding broad-market pitfalls—founders rejected a deal in an unmapped specialty. Usage-based pricing charges per document or call, not seats. Goal: patients leave primary care with specialist slot confirmed before reaching their car. Admin staff oversee, focusing AI on repetitive tasks to boost capacity without displacement.

Rapid Traction Amid Crowded Market

Processed 500k patient referrals total, 100k in the last month alone; 70% of new deals via word-of-mouth. Raised $24.5M ($21M Series A led by Basis Set Ventures, with Cowboy Ventures, Sofeon). Differentiates from Tennr ($160M raised, $605M valuation, document-focused) and Assort Health ($50M at $750M valuation, phone-only) by combining document intelligence and voice in tailored, specialty workflows. Experienced founders (Lyft ops, Medtronic devices, Cruise GM) build trust with practices wary of unproven teams.