Asteroid GTM brain
Asteroid supplies healthcare software teams with integrations and AI automation for EHRs, payer portals and legacy desktop systems.
category
Healthcare integration and workflow automationmarket profile
- text: Healthcare applications depend on a fragmented mix of EHRs, payer portals and legacy systems, many without usable APIs.
- text: Healthcare integration buyers compare managed APIs and EHR interoperability vendors as alternatives to building every connection.
personas
- title: CTO or integration engineering lead at a digital health companypains:
- A growing backlog of EHR and payer integrations delays product launches.
- Portal changes and legacy systems consume scarce engineering time.
- title: Healthcare operations or revenue cycle leaderpains:
- Staff manually check eligibility, chase prior authorization and investigate claim denials across portals.
- Needs visibility and human review for sensitive workflows.
- title: Founder of a healthcare AI productpains:
- A useful AI workflow cannot deliver value until it reads or writes data in customer systems.
- Security and compliance expectations raise the bar for production integration.
icp
- text: Digital health vendors, care providers and healthcare operations teams that must access multiple EHRs or payer portals.
- text: Teams with recurring administrative volumes such as prior authorization, eligibility checks, referral intake or clinical data write-back.
message pillars
- text: Connect hard-to-integrate healthcare software through an API.
- text: Use prebuilt connectivity to access a broad collection of systems.
- text: Combine automated execution with visibility and human oversight.
objections
- objection: Can we use this with protected health information?response: Asteroid describes its platform as HIPAA compliant; confirm the BAA, architecture and security controls during procurement.
- objection: Will an automation work for our specific portal and workflow?response: Test the required portal and exception cases in a bounded pilot, including review and recorded runs.
- objection: Can we forecast spend?response: Pricing uses credits covering runtime, models and proxies; measure a representative workflow before scaling.
competitors
- name: Redoxwebsite: https://redoxengine.com/solutions/redox-for-ehrs/why: Healthcare interoperability and EHR read/write integration platform.
- name: Zus Healthwebsite: https://www.zushealth.com/platformwhy: Healthcare data and direct EHR integration platform for digital health teams.
- name: 1upHealthwhy: FHIR and healthcare data API platform overlapping in payer and provider integration.
influencers
- name: David Mlcochurl: https://www.ycombinator.com/founders/david-mlcochwhy: Co-founder and CEO writing about healthcare agent execution.
- name: Joe Hewetturl: https://www.linkedin.com/in/joehewettwhy: Founder discussing healthcare integration bottlenecks publicly.
keywords
- EHR integration API
- healthcare portal automation
- payer portal API
- prior authorization automation
- EHR write back integration
- healthcare workflow automation
- eligibility verification automation
voice
- Technical and practical
- Healthcare workflow specific
- Focused on speed and control
signals
- text: A healthcare AI vendor is launching new EHR or payer integrations and has a growing integration backlog.
- text: A care or revenue-cycle team handles high volumes of manual portal tasks.
stack
- API
- MCP
- Slack
- webhooks
pricing
model: usage
motion
hybridchannels
- SEO
- developer documentation
- YC
- sales
confidence
highFounders
- name: David Mlcochtitle: Founder/CEOrole: CEObio: Co-founder and CEO of Asteroid. I have a background in AI (Edinburgh University), autonomous agents (Co-founder and CTO of Trident AI), robotics (CTU, NTU, TAU) and space (EUSPA, SpaceKnow). I like sports, history and building things.
- name: Joe Hewetttitle: Founder/CTOrole: CTObio: Co-founder and CTO of Asteroid. Previously cybersecurity at Netcraft, where I created novel methods using LLMs to map and disrupt hundreds of millions of dollars of fraud. I have published academic work on the use of LLMs in cybersecurity