The Operational Friction
Healthcare knowledge is fragmented across legacy EHRs, siloed claims networks, and unstructured clinical notes — blinding standard AI models and halting automation.
Stop deploying disconnected chatbots. Unify clinical, operational, and financial context into a single Company Brain — a queryable, self-improving Agentic operating system built for enterprise scale.
Healthcare knowledge is fragmented across legacy EHRs, siloed claims networks, and unstructured clinical notes — blinding standard AI models and halting automation.
The Healthcare Company Brain captures and synthesizes this scattered context into a governed execution layer to safely automate complex care pathways and billing exceptions.
Eliminate manual systemic handoffs across triage, billing, and care management instantly.
Elevate customer lifetime value and retention with deeply context-aware digital interactions.
Convert passive, unstructured backend data into immediate, auditable operational insights.
Expand your patient base exponentially without growing operational headcount or overhead.
WellnessGPT bridges your core legacy backend infrastructure directly with intelligent front-end delivery points.
Fuses multimodal inputs — text, reports, voice, images, and signals — into a single, continuous patient timeline with zero context drops.
Combines conversations, vitals, and care-plan context to trigger proactive outreach, replacing reactive search with automated user retention.
Delivers lightning-fast, multilingual resolutions to complex scheduling or insurance disputes, maintaining one standard of care across geographies.
Memory
An encrypted hybrid memory fabric (Graph + Vector) enabling sub-150ms recall of longitudinal consumer records.
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Orchestration
The command core. The orchestration engine routes every event, policy, consent, and escalation across the right agent and workflow.
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Agents
Domain-specific digital workers running complex healthcare operations from end to end.
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Eliminate the systemic latency of validating data schemas manually.
Magic Build
Ingest unstructured medical protocol PDFs into active database schemas in minutes.
Magic Capture
Extract source files directly into core operational networks, cutting manual processing time by 90%.
Magic Monitor
Inspect validation accuracy and enterprise compliance matrices globally side-by-side.
Deploy and run powerful agent execution loops securely inside your own data boundaries.
Own your interactive voice endpoints end-to-end with zero third-party dependencies.
Run high-speed contextual pipelines targeting 12k tokens per second natively on open models.
Maintain absolute precision with transparent citation spans grounded completely inside your corporate corpus.
Integrations
from langchain.agents import create_agent
from langchain_anthropic import ChatAnthropic
from reasonblocks import ReasonBlocks
rb = ReasonBlocks(api_key="rb_live_...")
mw = rb.middleware(agent_name="bugfixer", task="Refactor the auth module")
agent = create_agent(
model=ChatAnthropic(model="claude-sonnet-4-5"),
tools=your_tools,
middleware=[mw],
)
with mw:
agent.invoke({"messages": [("user", "Refactor the auth module")]})
Other framework? Drop us a line.
Communication
Supports unified, multilingual patient journeys across Voice, SMS, WhatsApp, and web apps while preserving a single, uninterrupted memory stream.
Equipped with autonomous reasoning-aware context pruning, cost-guardrails, mid-run loop detection, and semantic file mapping.
HIPAA-Ready | ABDM-Aligned | FHIR-Compatible | Audit-Ready Workflows
Capabilities
Each one targets a specific failure mode. None require changes to your agent code.
01 Reasoning reuse
Surfaces past solutions when a similar problem returns.
02 Semantic file memory
Recalls what a file means without re-reading it.
03 Loop detection
Catches doom loops mid-run and injects a redirect.
04 Tool supervision
Spots redundant fetches before they compound on the bill.
05 Context compression
Folds older turns into summaries so long horizons stay coherent.
06 Reasoning-aware context pruning Preview
Reasoning- and logic-based pruning vs semantic token pruning.
Candidate matches
Join the industry leaders moving past superficial bots to build highly defensive, scalable, AI-native healthcare operations.