
Matic Inside puts a doctor-built, 98% accurate AI scribe inside your EHR, live in weeks, at a fraction of the cost, with you keeping the credit.
Faster-to-Market
Specialty-Tuned
Better Than Billion-Dollar AI
Always Advancing
Matic Inside embeds Scribematic’s clinician-built AI scribe directly into your EHR, powering the entire care-to-claim lifecycle with 98%+ accuracy and near-zero edits.
Matic Inside
Built by doctors for doctors, it captures clinical nuance, claim codes with precision, and accelerates revenue all in one seamless workflow. Live in weeks, not years, at a fraction of in-house build costs, it gives you the depth of AI and user experience that will set your EHR apart.
Clinician-Built Accuracy
Fast & Low Risk Launch
Always
Advancing AI
Your Brand. Your Revenue
The patient record is the most important part of the care-to-claim lifecycle. Accuracy makes it flow, errors make it crash. We consistently outperform industry leaders like Athelas, Freed, Heidi, Suki, and Sunoh and others in direct comparisons.
Of healthcare AI pilots never reach adoption—abandoned due to poor data, compliance gaps, or ROI failure
Of AI prototypes make it to production, with an average of 8+ months from pilot to go-live
HIPAA, SOC 2, HITRUST, data residency, and audit readiness can consume up to a year before launch
Building enterprise-grade AI for healthcare demands more than just code. It’s a high-stakes balancing act between innovation, security, and real-world delivery.
Typical projects start at $500K-$1M+, depending on feature complexity and initial regulatory adherence requirements.
Custom, deep-learning solutions for healthcare can easily exceed $3-5 Million due to their specialized nature.
High-performance computing and secure cloud storage can cost $100K-$1M per year just to maintain operations.
Annual audits range from $20K-$200K, with potential $1.5M+ fines per infraction for non-compliance.
Not all AI scribes are created equal. The right one keeps revenue in your ecosystem and opens new upsell streams.
Robust API with pythonic usage examples for all endpoints, flexible integration, and direct engineer-to-engineer support ensure a smooth, low-disruption deployment.
Faster time-to-market, lower cost, and near-zero execution risk deliver immediate ROI and a competitive edge.
Market-proven, physician-approved, KLAS-accredited — with satisfaction scores above industry benchmarks.
HIPAA-compliant, certified safe, and built to meet the strictest security and regulatory standards.
Predictable costs, eliminated complexity, and reduced LLM overhead deliver immediate ROI.
Fresh value prop, renewed market relevance, and extended product life drive new revenue.
Higher quality, faster adoption, and delighted users turn customers into advocates.
Every day you wait, third-party scribe vendors or EHRs are taking your customers' dollars and their loyalty. The AI scribing revolution isn't coming, it's already here.
What's already table stakes today will evolve rapidly into advanced capabilities tomorrow:
Pick the Partner That Keeps Your Customers, And Takes Your Competitors
Don't let competitors capture your market while you're still in the planning stages. Our team of doctors and engineers has built AI your team can integrate, customize, and trust giving you the best scribe technology available without the cost, time, or risk of building it yourself.
Trusted by leading healthcare technology companies to deliver AI solutions that physicians love and compliance teams approve.

Own the revenue. Own the customers. Own the data. Build with Matic Inside.
For small, mid, large, complex, or specialty practices, Scribematic scales to fit every workflow from care-to-claim.

AI Scribing is table stakes. Epic and other leaders have made it a must-have feature, and providers expect it from every EHR. Over $1B poured into AI scribing in the last year alone.
We're different. We built a faster, better AI scribe that plugs right into your EHR for a fraction of the cost and stays ahead of the LLM arms race without your team lifting a finger.
Big tech companies invested millions trying to build their own AI capabilities, often with mixed results and lengthy timelines.
Many organizations discovered the harsh reality: building sophisticated, domain-specific AI is exponentially more complex than anticipated.
Strategic AI acquisitions will create an unbridgeable competitive gap between market leaders and those who failed to act quickly.
The truth is that basic AI implementation is relatively simple, but creating truly effective AI for healthcare that remains current with near-weekly LLM advancements requires multimillion-dollar annual investments. We deliver that enterprise-grade capability for just six figures.
We've optimized our implementation process to get you to market quickly with minimal strain on your technical resources. Most implementations complete in 4-6 weeks, compared to the 12-24 month timeline typically required for in-house development.
We evaluate your current EHR architecture and integration requirements (1 week)
Our engineers work directly with your team to implement the necessary connections (2-3 weeks)
We customize our AI for your specific clinical specialties and workflows (1 week)
Rigorous testing ensures accuracy, compliance, and performance (1 week)
Your AI-powered solution goes live with full support from our team
The patient record is the most important part of the care-to-claim lifecycle. Accuracy makes it flow, errors make it crash. We consistently outperform industry leaders like Athelas, Freed, Heidi, Suki, and Sunoh and others in direct comparisons.
The EHR Inflection Point