Real‑time, knowledge‑graph + Agentic AI—built for products, platforms, and private deployments

Turn natural language into answers, actions, and automations. Openpedia unifies open‑web signals and your proprietary data into a live knowledge graph that understands entities—words and their roots, people and organizations, financial filings, places, products, events, and millions more. On top of that graph, Agentic AI plans multi‑step work: it crawls sources, reasons across them, and produces cited, ready‑to‑use outputs—via API, SDKs, or white‑label UIs.

Primary use cases: search & discovery, deep research, financial intelligence, multilingual content & localization, and safety/compliance review.

Why Openpedia

Real‑time, multilingual graph. Continuously ingests and reconciles facts across languages—linking entities, timelines, and relationships so teams see one canonical picture.
Agentic AI you can trust. Orchestrated agents plan, browse, reason, and draft—with human‑in‑the‑loop review, role‑based policies, and audit trails.
From words & etymologies to markets & money. Openpedia began by mapping words and their origins and expanded into financial intelligence and millions of other entities—so language, culture, and economics live in one model.
ISV‑ready. Ship faster with white‑label widgets, GraphQL/REST APIs, streaming webhooks, and language‑aware SDKs.
Deploy anywhere. SaaS, private cloud, or on‑prem (including air‑gapped). Built for data residency and strict governance.

What you can build (and ship) with Openpedia

Deep Research & Knowledge Apps

Spin up research agents that crawl sources, extract claims, align them to the graph, and deliver executive‑ready briefs with references. Teams use this for market landscaping, competitor tracking, and multilingual "explainers." Opedia for Teams (Pilot)

Financial Intelligence & Dossiers

Create AI analysts that read SEC/Earnings and synthesize company dossiers grounded in filings—complete with KPIs, risk factors, and management quotes. capopedia

Community, Commerce & Discovery

Power marketplaces and community platforms with entity‑aware search, safety filters, and AI assistants that help users find, post, or summarize content.

Learning & Tutoring

Offer AI learning assistants that personalize study plans and co‑pilot teachers—paired with live classes or course catalogs.

How it works

Connect & Ingest APIs, files, streams, and the open web feed into a multilingual pipeline. Entities are extracted, normalized, and deduped into the graph.
Link & Reason Coreference, etymology, and ontology layers bind people, places, products, filings, time, and language. Agentic AI plans multi‑step tasks (retrieve → read → cross‑check → draft → verify).
Deliver Query via GraphQL/REST, subscribe to webhooks/streams, or embed white‑label UI blocks (search, dossiers, explainer panels, "ask the graph" chat).

Platform capabilities

Entity coverage: words & etymologies, lexemes/morphology, people/orgs, instruments/filings, places, products, events, citations.
Reasoning & planning: tool‑use, browsing, multi‑hop retrieval, debate/self‑critique, chain‑of‑verification, human approval gates.
Multilingual by design: cross‑lingual linking and transliteration; locale‑aware summarization and generation.
Freshness & observability: near‑real‑time updates; data lineage, diff views, and per‑entity change logs.
Governance & safety: signed outputs, policy prompts, allow/deny tool lists, and red‑teamable agents.
Developer surface: GraphQL/REST APIs, Python/TypeScript SDKs, CLI, and postbacks; SSO/OIDC; usage analytics.

Security & deployment options

SaaS in Openpedia cloud with tenant isolation and regional hosting.
Private Cloud / On‑prem for regulated or classified environments (supports offline and air‑gapped setups).
Data & access controls: per‑source entitlements, secret management, audit logs, export controls, and content policy enforcement.

FAQs

Do agents act autonomously?

Only within policy‑bounded tools you enable. We encourage human‑in‑the‑loop approvals for drafts, actions, and data changes. Opedia for Teams (Pilot)

How is this different from "just an LLM"?

Openpedia fuses structured knowledge (a live graph) with agentic workflows (multi‑step tool use). That combination yields factual grounding, freshness, repeatability, and integration into your stack.