- Home
- Products
- Hydra Agentic
Making AI work in health space
Hydra Agentic Service
A complete AI operating system specifically designed for health systems. An extensive number of connectors help you integrate the most common systems and protocols.
Helping teams to create the workflows given user instructions, with minimal use of code; plus defining sophisticated decisioning logic backed by safe AI agents.
Request demo
Why it matters
Full toolbox
A large set of pre-built connectors, tools, and agents designed to empower our agents to perform specialized tasks in the health domain
Efficiency
The joint use of multimodal LVLM (Large Visual and Language Models) and medical vSLM (Small Language Models) optimized resource utilization and high precision across tasks.
Public and Private models
A combination of own-developed models and public models permits great deployment flexibility and adaptability to different use cases: air-gapped full on-premises deployments.
Guardrails and compliance
Comprehensive compliance with healthcare regulations (HIPAA, GDPR, SOC 2 Type II) and built-in guardrails to ensure safe and ethical AI usage.
HIPAA Compliant
Full BAA support with end-to-end encryption and PHI protection
SOC 2 Type II
Comprehensive security controls audited by third-party assessors
GDPR Ready
Data minimization and privacy-by-design architecture
Clinically Validated
Rigorously tested against clinical datasets and expert reviews
99.9% Uptime
Enterprise SLA with redundant infrastructure and disaster recovery
Agent base capabilities
Our agents are equipped with a comprehensive set of tools and features to tackle various healthcare integration challenges.
Document Management
Knowledge databases from static documents (PDF, Word, Excel, etc.) or retrieve relevant information from the internet.
Context Engineering
Advanced context management capabilities, including memory, summarization, and retrieval-augmented generation (RAG) to enhance agent performance over time.
Auditable
Agents log is stored securely with full audit trails (after anonymization and encryption) to keep track the activity and enable a continuious learning loop