Scite.ai
Stores surrounding textual context of every citation plus a deep-learning classification (supports / disputes / mentions). Persisted across the database, not computed on demand. MCP integration (2025) exposes the memory layer to Claude and ChatGPT.
Acquired · Verified 2026-10-22 · fresh as of 2026-10-22 · 30 cited facts, 6 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Intent-classified citation context index vendor fix
- Tier
- T2
- Created
- 2018 (founded 2018 by Josh Nicholson and Yuri Lazebnik in Brooklyn NY) third-party fix
- Latest release
- not applicable — not OSS fix
- License
- not applicable — not OSS fix
- GitHub
- not applicable — no GitHub repo fix
- Pricing
- Basic $12/mo (billed yearly, 7-day trial); Pro $40/mo (billed yearly); Enterprise custom vendor fix
- Funding
- $1.93M raised; acquired by Research Solutions Dec 2023 third-party fix
- Freshness
- 2026-10-22 fix
- Layer
- agent-infra repo fix
- Licensing
- commercial vendor fix
Memory taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- extraction
- unit
- document
- governance
- inspectable
- conflict
- append
When to use
Optimised for: research-workflow integration + provenance + claim grounding
Anti-fit: not for non-research / non-academic use cases
Pros & cons
Pros
Smart Citations — memory of how each citation was used (supporting / contrasting / mentioning) is unique.
Cons
Niche to citation analysis; not a general scientific search product.
Claims & capabilities
Pre-classified citation intents — distinct from plain semantic search.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Managed-only; acquired by Research Solutions Dec 2023
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- yes — first-party Scite MCP for AI agents; MCP credits 250/mo (Basic), 2,500/mo (Pro)
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- no OpenTelemetry integration advertised — vendor logs/observability not publicly documented
Alternatives to Scite.ai → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.
- Inworld AI T1
Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no longer the headline product.
- NVIDIA ReMEmbR T3
Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, and position modalities. Deployed on Nova Carter robot (Jetson Orin).
- Abridge T1
Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M+ medical-encounter dataset.
- ASAPP GenerativeAgent T1
Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.
- BenevolentAI T1
Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources, petabyte-scale, rebuilt every few weeks. Wet-lab results re-enter the graph and shift downstream predictions — institutional experimental memory closing a feedback loop. As of Oct 2026 benevolent.com leads with Qor, powered by BenevolentAI, a life-science intelligence service for biopharma decision makers and consultancies. Qor (qor.one) is a continuously updated decision-intelligence service built on BenevolentAI's knowledge graph and reasoning methods: it tracks evidence on an asset or indication (competitive position, rival readouts, comparable deals), source-verifies each claim and flags when an earlier conclusion stops holding. It targets biotech teams and life-science consultancies.
- Causaly T1
Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise data fabric over literature, trials and patents.
Sources (29 cited facts, 6 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Intent-classified citation context index vendor
- What it does & what's distinct Stores surrounding textual context of every citation plus a deep-learning classification… vendor
- Claims / benefits Pre-classified citation intents — distinct from plain semantic search. vendor
- Modalities text vendor
- Created 2018 (founded 2018 by Josh Nicholson and Yuri Lazebnik in Brooklyn NY) third-party
- Funding $1.93M raised; acquired by Research Solutions Dec 2023 third-party
- Customers / scale 2M users; 30+ publisher partners third-party
- Pricing Basic $12/mo (billed yearly, 7-day trial); Pro $40/mo (billed yearly); Enterprise custom vendor
- Data handling Indexes via publisher agreements; no external training on user data vendor
- Deployment Managed-only; acquired by Research Solutions Dec 2023 third-party
- HQ US (Brooklyn) third-party
- Founders / pedigree Josh Nicholson (CEO/founder 2018) third-party
- Memory volume / scale no scale claim (1B+ citation snippets implied) vendor
- Schema evolution schema with migration vendor
- Namespace primitives per-tenant vendor
- Contradiction handling always append (no resolution) vendor
- MCP support yes — first-party Scite MCP for AI agents; MCP credits 250/mo (Basic), 2,500/mo (Pro) vendor
- Validated verticals research only (academia + R&D in pharma / biotech / scientific publishing) vendor
- Time to running <10min (hosted SaaS) to <1day (enterprise integration) vendor
- Anti-fit not for non-research / non-academic use cases vendor
- Optimised for research-workflow integration + provenance + claim grounding vendor
- Adjacent infrastructure self-contained SaaS; some integrate with reference managers vendor
- Pros Smart Citations — memory of how each citation was used (supporting / contrasting / menti… vendor
- Cons Niche to citation analysis; not a general scientific search product. vendor
- Project & sources scite.ai vendor
- architecture-deployment-locus cloud vendor
- licensing-bucket commercial vendor
- positioning-platform-vs-product product vendor
- taxonomy-three-layer-rollup agent-infra repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-22
- Pricing “Free / Basic $7.99/mo / Premium $19.99/mo / Premium+ $59.99/mo / Enterprise custom” → “Basic $12/mo (billed yearly, 7-day trial); Pro $40/mo (billed yearly); Enterprise custom” source
- MCP support first recorded as “yes — first-party Scite MCP for AI agents; MCP credits 250/mo (Basic), 2,500/mo (Pro)” source