Vertical / domain-specific AI memory

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.

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 — prefer…

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 week…

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 p…

Chat Memories (user-defined facts), auto-memories for c.ai+ subscribers, pinned memories, in-context retention. Latest chat models PipSqueak 3 and ShortSqueak (Sep 2026). On 2026-10-12 the company announced a voluntary Chapter 11 process…

No-code interactive narrative platform. Characters track what they know, when they were lied to, what they misremember; story state changes downstream behaviour. Characters can deliberately lie / misremember and track when players have l…

Acquired by NiCE (closed 2025-09-08); continues as NiCE Cognigy, standalone and inside CXone Mpower. Enterprise contact centre (voice + chat). Short-term covers current session; long-term persists across sessions and is shared by every a…

Mimir hierarchical memory: short-term (verbatim), medium-term (summaries + emotion), long-term (cross-session). Scene awareness layer adds in-engine perception. Unity + Unreal SDKs with real-time voice + lipsync.

Autonomous support agents resolving end-to-end (refunds, cancellations). Channel-agnostic memory: chat → call carries prior context. Agents recognise returning customers and recall prior issues.

Specialty-care ambient scribe (oncology focus). Pulls forward prior notes with precise dates; synthesises interval history (what changed since last visit); auto-populates disease-status and treatment-plan context.

Adds GPT-4-powered Roleplay (character conversations, with cross-call memory for "Lily") and Explain My Answer on top of Duolingo's existing spaced-repetition engine, which tracks per-word and per-skill mastery state across all sessions.

Persistent pronunciation profile per user, tracking which sounds, words, and patterns the learner consistently mispronounces. Self-evolving model re-evaluates and updates the profile as the learner improves. Competitive moat is a proprie…

Plaintiff-law AI operating layer (EveOS) spanning intake, case work, research and firm analytics; its Auditor module reviews open matters for missed case value. The firm-wide knowledge store is no longer a named module on the homepage.

Humanoid VLA model: a 7B VLM (System 2, 7–9 Hz) continuously updates a shared latent vector of behavioral intent that an 80M visuomotor policy (System 1, 200 Hz) consumes alongside the latest observation; runs onboard Figure robots.

Embedded in case-management platform. Holds full scope of every matter — deadlines, billing, discovery, communications, negotiation history — as live context for every query. Case data is the context, not a separate retrieval corpus.

Full autonomous-scientist loop. Owl agent surfaces prior work so downstream agents don't re-derive known results. WikiCrow produced cited factsheets for 15,616 previously undocumented human genes; Phoenix uses accumulated experiment cont…

Memory carries forward user-chosen context (matter details, precedent, preferences, approved practices) and reuses past threads scoped to a user, client, matter or firm process. Firm admins enable/disable it; ethical walls and audit cont…

Patient-conversation / chronic-care staffing model. HIPAA-compliant Memory Store holds non-EHR salient facts from prior calls, persists across engagements, explicitly not used for model training. Shifts from transactional call-handling t…

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.

Primary care / virtual physician intake. Two-agent pipeline: one extracts the relevant EMR subset, second answers grounded to that filtered history. Architecture explicitly diverges by patient condition (diabetic vs heart-failure get dif…

Therapeutic-antibody discovery in a closed Design-Build-Test-Learn loop. EVA accumulates structured outcome data from each robotic experiment cycle and feeds it back to generative ML models directing the next design round. Genuine experi…

AI Dungeon's maker. Voyage (April 2026) launched as a creator platform for AI RPGs. World Engine (5 years in dev) is dedicated AI tracking characters, objects, backstories, relationships independently from the narrative AI; persistent wo…

Jan 2026 platform relaunch. Persists negotiation history, prior decisions, accepted risk positions across all contracts; new terms align with what the org has already agreed. Branded as the antidote to "enterprise amnesia."

Teacher productivity platform (80+ teacher tools, 50+ student tools) for planning, differentiation, IEP generation, feedback. Does not maintain a cross-session learner model. Teachers input student context manually each session; district…

Ambient scribe + longitudinal clinical intelligence (strategic partnership Jul 2025). Live encounter transcript reconciled against historical labs/imaging/notes; condition-suspecting + care-gap engine runs against the reconciled record.

Tracks per-card answer history within a study set; computes a Memory Score for SRS scheduling. Magic Notes converts uploaded content (notes, PDFs, URLs) into flashcard sets automatically. Q-Chat, the conversational AI layer, was disconti…

Carbon control system originally built for the Phoenix humanoid; company now sells it as hardware-agnostic Physical AI for existing industrial robots plus in-development hydraulic hands, with the Phoenix humanoid no longer featured.

Bret Taylor + Clay Bavor. Agent Data Platform links unstructured conversation data to enterprise systems (billing, inventory, policies, transactions); persists across channels and time. Memory accumulates across every interaction, not ju…

Real-time simultaneous inference + data collection — dynamically updates in-context representation as the robot encounters new situations. Lets the system adapt to novel embodiments / unseen environments without explicit fine-tuning. Pre…

Transactional / contract drafting. Ingests the firm's precedent corpus (OneDrive, Dropbox or direct upload); indexes it so lawyers search past clauses in plain language inside Word, insert one, and have Spellbook adapt it to the style an…

Doctor-assist ambient documentation. Pulls forward prior documentation into a pre-visit synthesis rather than waiting for the encounter. Patient summaries surface relevant insight from history before visit begins.

Single end-to-end neural network ingesting multi-camera video + navigation + ego-motion, maintaining an evolving 3D occupancy volume as internal world state — spatial memory persisting across frames, tracking objects that temporarily lea…

All surround-camera views encoded through video tokeniser to continuous latent; past latent sequences serve as explicit temporal context via space-time factorised transformer. GAIA-3 (15B params, 2× GAIA-2 size, 10× training data) adds s…

Extends π0 with MEM layer giving the policy short-term (within-task) + long-term (cross-task, >10-min horizon) memory. Co-trained on robot teleoperation + human video + text. Hierarchical inference: VLA predicts subtasks as text tokens, …

SMB law firms. AI embedded in practice management; pulls full matter overviews — WIP, billing, documents, communications — as context. Memory is the PMS data; no separately persisted cross-matter layer. Renamed Manage AI at ClioCon 2025.

Next-gen release (Aug 2026, built on Claude Agent SDK) is fully agentic and adds per-matter Workspaces that keep firm documents and precedents as context across matters and teams, plus Brief Builder, a Word drafting agent and Deep Resear…

Sales + contact centre. Customer history feeds real-time guidance and coaching. Memory survives handoffs between AI agent, human agent, and channels — but leans on CRM as the primary store.

Systematic literature review + data extraction + meta-analysis. Every extracted claim anchored to its exact source sentence; Notebook persists paper collections across projects. Research Agents (Dec 2025) carry evidence forward across re…

Corporate / transactional due diligence. Parallel AI agents across large document sets with firm-specific configurations and review workflows. Configuration amounts to a shallow institutional memory layer; cross-matter persistent memory …

Ambient documentation with clinician-profile learning. System learns each clinician's preferred note structure, phrasing patterns, symptom-outlining conventions — applies persistently across sessions. Provider-side personalisation rather…

CX support. Currently CRM-backed customer attributes + conversation history lookup. Lifecycle-persistent memory ("priorities learned day one considered in year 10") on roadmap as of Pioneer 2025 — not yet shipped.

Enterprise R&D document-intelligence platform, now sold as three products (Axion data prep, Neuralith enterprise knowledge engine, RSpace R&D intelligence) under an 'AI harness' that controls what models read and traces each answer step.

Stores full chat transcripts per student (visible to learner and teacher via dashboard). Layers over Khan Academy's existing mastery graph (exercise completion, skill progress) for cross-session topic awareness; cross-session memory is d…

Architecturally notable — a named, documented service. Shared key-value store any agent (bot or human) can read/write across a customer's conversational journey, reducing repetition and enabling continuity.

AI companion built around long-term memory as primary differentiator. Mind Map 2.0 gives users a navigable graph of what their Nomi knows about them and how memories connect — the most transparent memory model in the companion segment. U…

Clinical decision support. Visits (Aug 2025) connects evidence layer to the live encounter — patient-specific context binding distinct from pure literature RAG. DeepConsult agent autonomously cross-references hundreds of peer-reviewed st…

Enterprise voice agents. Context heavily runtime-injected from CRM / telephony / API / user history; passes context to humans on escalation. Strong on plumbing, lighter on autonomous memory accumulation.

Enterprise agentic customer-service platform with Conversation Automation (one agent across voice, chat and messaging) and Conversation Intelligence (analysis of human-agent conversations used to replicate workflows). Cross-interaction m…

Long-running AI companion (Luka, Inc., 2017). Replika 2.0 (2026) is a full rebuild with a new memory architecture, 3D avatars and voice/video calls; users report the new segmented, recency-biased memory losing some prior details. Classic…

Acquired by Litmaps (announced 2025-05-08, terms undisclosed); product still running. Literature discovery + citation mapping. Oct 2025 revamp formalises checkpointed search paths as named "rabbit holes" — each checkpoint is a saved stat…

Agentforce agents grounded in Data Cloud — unified customer record across silos. Memory is the CRM record made available to AI; not an independent memory system. AI reads/writes through the existing data model.

Teacher-created "Spaces" (structured AI workspaces) where Dot, the student-facing assistant, guides learners through agendas. Student interaction data — completion, errors, time-on-task — surfaces to teachers via dashboards. Memory is wi…

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 a…

In receivership since 2026-02-05 (KPMG receivers Leon Bowker and Luke Norman, appointed under a security deed held for convertible-note holders; NZ Gazette notice 2026-ar623); website still up. NZ/US digital-humans company. Patented Digi…

Speaking-first AI language app (Spanish, French, Korean, Japanese, Italian, Chinese). Uses the learner's mistakes and history to generate personalised review; Premium Plus adds 'Made for You' lessons from gaps and an AI Speak Tutor. Busi…

Defunct: Spirit AI Limited entered members' voluntary liquidation (liquidators appointed 2023-09-18). Authoring toolkit + SDK for narrative designers. Tracks what each character knows, doesn't know, has witnessed; explicit handling of NP…

Activates a Socratic interaction style — guiding questions, scaffolded concepts, knowledge checks rather than direct answers. With ChatGPT Memory enabled, persists learning goals and facts across sessions. Memory is not study-mode-specif…

Encodes scene into 3D Gaussian Splat representations via 3D VAE; latent Diffusion Transformer predicts future Gaussian Splat states conditioned on robot actions. 3D scene representation persists across time steps as structural scene memo…

Two-tier memory bank on a VLA backbone. Perceptual MB holds low-level visual details; Cognitive MB holds high-level semantic summaries; working-memory module retrieves and fuses both into observation tokens before action prediction. Hipp…

Dual-system (VLM "System 2" + Diffusion Transformer "System 1") jointly trained end-to-end; planner outputs persist as conditioning context across action generation. N1.7 adopts relative end-effector action space — incremental spatial me…

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…

Incrementally constructs hierarchical 3D scene graph during navigation — nodes for objects/groups/rooms, edges for spatial relations. Prunes stale nodes with linear complexity. Live graph passed as structured prompt to LLM that traverses…

Embeds micro-assessments into every lesson to track understanding in real time, adjusting difficulty and teaching approach within session. Combines AI personalization with human-curated content. No publicly disclosed mechanism for a dura…

Formalises spatial localisation question answering (SLQA). High-density memory over 3D scene graphs (semantic entities + metric coordinates); LLM agent performs joint retrieval over both modalities for multi-hop location queries. Introdu…