Two modes. One goal — the right answer.

OpenInsight has two query modes, optimised for how doctors actually think: fast lookups and deep clinical reasoning.

Fast Search

The quick clinical colleague

Response time: ~3 seconds
Best for: DDI checks, dosing, differential lists, quick protocol lookups
Process: Embed query → hybrid retrieval → reranking → LLM synthesis

DeepInsight

The thorough consultant

Response time: 20–60 seconds
Best for: Complex cases, treatment planning, rare disease workup
Process: Multi-agent orchestration with RAG, web search, synthesis, and validation

How We Compare

Built for India. Different by design.

See how OpenInsight stacks up against generic AI tools and established Western references — across the capabilities Indian doctors actually need.

How OpenInsight compares to other clinical reference tools
CapabilityGeneric AI ToolsChatGPT, Gemini, etc.UpToDate / WesternEstablished referencesRecommendedOpenInsightBuilt for India
India-first evidence (ICMR / NTEP / NVBDCP)Defaults to FDA / Western sourcesNoLimited India coveragePartialGround-up ICMR / NTEP / NVBDCPYes
CDSCO drug databaseFDA / EMA labels onlyNoLexicomp, not CDSCONoFull CDSCO-approved genericsYes
Drug interactions (Indian generics)Western brand namesNoGeneric name onlyPartialIndian brand + Jan Aushadhi awareYes
Cost for Indian doctors₹2,000+ / month or USD-denominatedNote~₹18,000+ / year (institutional)NoteFree for verified NMC-registered doctorsYes
Offline capabilityOnline onlyNoLimited cached contentPartialOn-device cache — pilot rolloutPartial
Citation export (PDF for patient records)No clinical PDF exportNoPrint-friendly topicsPartialCitation-ready PDF + VaultYes
Hindi language supportAuto-translate, lossyPartialEnglish-onlyNoNative Hindi + 4 regional languages (roadmap)Yes
NMC / MCI verification & complianceNo practitioner verificationNoInstitutional licensingPartialNMC registration verified at sign-upYes
DeepInsight multi-agent modeSingle-pass generationNoStatic topic articlesNoRAG + Web + Synthesis + Validator agentsYes

Full support Partial / on roadmap Not available

Behind the Scenes

How DeepInsight thinks

Receives the query, decides which agents to invoke and in what order. Manages escalation signals and coordinates the entire pipeline for optimal response quality.
Retrieves relevant chunks from the Zilliz vector store using hybrid dense+sparse search with evidence-level boosting to prioritize high-quality sources.
Queries live web for recent publications, drug approvals, and guideline updates not yet in the corpus for real-time information.
Receives outputs from RAG and Web Search agents, synthesises a coherent, structured clinical response ready for physician review.
Verifies every claim against its source. Flags unverified statements to maintain clinical credibility and safety.