CGM Data Summariser
Our AI agent automatically analyzes Continuous Glucose Monitor (CGM) data, summarizing key trends, time-in-range, and compliance to help providers manage diabetes more effectively.
How SimplAI Simplifies CGM Data Analysis
Aggregate & Normalize Data from Any Device
- Ingests data from device APIs, EMRs, or patient uploads
- Handles different data formats and reporting intervals
- Creates a single, unified view of patient glucose history
Analyze Key Metrics & Time-in-Range (TIR)
- Tracks and visualizes TIR, TBR, and Time-Above-Range (TAR)
- Calculates mean glucose, standard deviation, and GMI
- Benchmarks patient results against ADA/AACE guidelines
Identify & Flag Risky Events & Trends
- Alerts care teams to severe or nocturnal hypoglycemia
- Identifies patients with high glucose variability or "brittle" diabetes
- Detects trends of post-prandial hyperglycemia
Summarize Compliance & Data Gaps
- Calculates patient adherence to CGM usage
- Identifies data gaps that could skew A1c estimates
- Provides insights for patient education and coaching
Ready to Make Sense of Your CGM Data?
Stop letting your team drown in glucose data. Deploy the SimplAI CGM Summariser in weeks and empower your clinicians with the proactive insights to improve patient control.
Built for Endo & Primary Care Teams
Adapts to your processes. Handles CGM data end-to-end. Works 24/7.
Scales Like Software
Analyzes data from thousands of patients daily, flagging only those who need attention.
Built for Diabetes Management
Trained on all CGM data formats, key metrics (TIR, GMI), and clinical care guidelines (ADA/AACE).
Integrated With Your Stack
Works with Epic, Cerner, Allscripts, Dexcom Clarity, Glooko, and all major EMRs and RPM platforms.
Compliant by Design
Manages all sensitive patient glucose data with full HIPAA compliance and a complete audit trail.
Instant Clinical Lift
Go live in 4 weeks and see a measurable improvement in patient TIR and clinician efficiency.
Trusted by Industry Leaders
SimplAI has fundamentally changed how we approach AI adoption inside the organization. Instead of running isolated experiments with different models and tools, we now have a unified platform to build, orchestrate, and govern AI agents across multiple business workflows.
What stood out for us was the platform's ability to handle enterprise requirements - security, governance, and observability - while still allowing teams to rapidly prototype and deploy AI solutions. SimplAI helped us move from fragmented AI initiatives to a scalable AI operating model
We chose SimplAI for its agentic operating system and enterprise-grade reliability. Today, we run multiple agents across GTM, operations, and customer support — all on a platform that scales and deploys securely on private clouds. The support from the team has been exceptional.
SimplAI has fundamentally changed how we approach AI adoption inside the organization. Instead of running isolated experiments with different models and tools, we now have a unified platform to build, orchestrate, and govern AI agents across multiple business workflows.
What stood out for us was the platform's ability to handle enterprise requirements - security, governance, and observability - while still allowing teams to rapidly prototype and deploy AI solutions. SimplAI helped us move from fragmented AI initiatives to a scalable AI operating model
A long list of good AI use cases is not an AI strategy. At ARU, we wanted a platform that could support meaningful operational improvements across the business, rather than adding a different point solution for every task.
That is one of the reasons we selected SimplAI. We are already working with their team to build agentic workflows around statement of values processing, loss runs, and underwriting audit. Their team brings genuine insurance domain expertise to the work, which means we can spend less time explaining the fundamentals of insurance workflows and more time solving the operational problems within them.
SimplAI has approached the relationship as a strategic partner, combining that industry knowledge with an impressive ability to build and iterate quickly. We are excited about what we are building together and the broader opportunity to thoughtfully apply agentic AI across different areas of our operations at ARU.
SimplAI is helping us address customer challenges at scale using AI, without the need to build an in-house AI engineering team. Even before going live in production, SimplAI has shown its value through its robust capabilities and consistent support for our goals. Their responsive and dedicated approach has made them a reliable partner in advancing our AI initiatives.
Secure infrastructure alone is not enough. Enterprises need the full stack — governed AI agents running inside a deployment model that never compromises their security posture. Pairing Zeblok’s Ai-MicroCloud with SimplAI’s orchestration layer means enterprises no longer have to choose between capability and control. Furthermore, our ability to offload to Flash memory means significant reduction in GPUs when managing user context.
With SimplAI, Lawyered isn't just embracing AI, we're redefining the legal landscape. By seamlessly integrating cutting-edge technology with our mission to democratize legal access, we're not only streamlining processes but also ensuring data security and privacy. SimplAI isn't just a platform, it's a catalyst for innovation.
As a sovereign big data technology provider, Saal's DigiXT platform is trusted by enterprises and government entities to manage, govern, and get value from their data at scale. DigiXT has a wide ecosystem of technology partners, and SimplAI's agentic AI platform is now integrated into it, giving our customers another option for building Agentic solutions on their data.
The engagement has been collaborative and constructive throughout. The SimplAI team has been responsive, capable, and open to feedback, which made the integration smooth. We look forward to continuing this partnership.
