Two ways to find your fit. By the kind of work — what the platform actually does, drawn from the features you can switch on. By the kind of organisation — what people in your industry typically run. Pick whichever lens lands.
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Each card maps to one or more shipped subsystems. Pick the workload that matches what you are trying to build; the cluster size and the worker mix follow from that.
ChatGPT-style assistant served at /chat. Conversations persist per user. Multi-tenant from day one. Voice in / out as an option.
Upload documents, ask questions across them. EMM first, vector store for exact citations. Sources cited inline so every answer is checkable.
ReAct loops, query decomposition, multi-agent runs across researcher / coder / validator / planner. Workflows are versioned and registrable.
Drafts replies to email, SMS, WhatsApp, Signal, Teams, XMPP. A human approves before anything sends. Audit ledger captures the decision.
Live PLC tag values flow into matrix memory; an inference worker runs anomaly detection and emits maintenance scores. Soft real-time at the line.
The xLSTM forecasting daemon (port 8884) handles policy / forecast / encode / retrieve workloads on sensor streams. Linear memory in sequence length.
STT → LLM → TTS in one round-trip. Whisper.cpp / Piper / ElevenLabs / OpenAI all supported. Telephone-style AI calls are in development.
Repo search, ticket triage, doc generation, test writing. Your own GPUs, your own code, your own audit.
Tenant guard enforces 403 on cross-tenant attempts. Per-tenant theming, branding, quotas. One server, clean walls between teams.
LoRA, QLoRA, SFT, DPO via Unsloth, Axolotl, TRL, DeepSpeed, MLX, llama.cpp. Visual training chains. Your data, your weights.
Multi-round training across worker nodes. Gradients aggregate, data does not move. Across hospital networks, manufacturing sites, research labs.
Existing tools — LangChain, LlamaIndex, Continue, Cursor — work after one line changes (the base URL). No re-write.
Runs on a Pi 4, an industrial gateway, a robot's compute box. Store-and-forward through disconnect windows. Kernel + light model end-to-end.
Hash-chained audit ledger. GLP and FDA 21 CFR Part 11 compliance modes on the science worker. Ed25519-signed licenses. Air-gap deployments.
140 integrations across NASA, ESA, CERN, PubMed, NCBI, GBIF, IAEA, OpenFDA, ArXiv, Materials Project. Bioinformatics, CRISPR, AlphaFold, LIMS.
The dream engine pulls completed sessions, extracts themes via an LLM, and consolidates them into matrix memory on configurable cadences (nightly, continuous, on-idle).
Each links to a fuller page. The common thread: data or operations that cannot leave the building.
Discharge-note summarisation, literature search, clinical-coding assistance, dictation for ward notes. HIPAA-aware by virtue of running in-house.
Internal Q&A across policies, regulatory-filing summarisation, contract review, internal helpdesk. Air-gap-ready for jurisdictions where data cannot leave.
Contract review, case-law search, regulatory tracking, e-discovery support. Privileged data never touches a third-party API.
Claims classification, policy lookup, customer-call transcription and summary. Multi-tenant for separated claims, underwriting, customer-service teams.
Molecular-docking pipelines, ADMET prediction, AlphaFold integration, LIMS with sample tracking and audit. GLP and FDA 21 CFR Part 11 modes.
Sequence analysis, BLAST search, variant calling, CRISPR guide-RNA design and off-target analysis on local hardware.
PLC tags via OPC-UA, Modbus, MQTT Sparkplug B. Predictive maintenance, alarm triage, shift-handover notes, OEE analytics. Soft real-time, edge-deployed.
Mobile robots, AGVs, inspection drones. On-device perception, voice command, decision-making when the radio link drops. xLSTM forecasting for trajectory and recovery.
R&D documentation search, plant-floor integration, in-vehicle inference for predictive maintenance and driver assistance — works offline when the link is down.
Route optimisation on private fleet data, customs-document classification, container-yard alerting. On-board inference for vehicles that lose radio cover.
Real-time news triage, regulatory-filing analysis, transcript-of-record search. Custom tuning per desk on internal data; no information leaks externally.
Grid telemetry analysis, distribution-network forecasting, outage triage, field-crew dispatch. Air-gap installs for SCADA networks. Industrial protocols inherited from the IoT worker. (deeper page coming — write to office@eldric.ai)
Research literature search, lecture transcription, student help-desk. Multi-tenant per faculty. Research IP stays on institutional infrastructure. Academic licensing on friendly terms.
NASA, ESA, JWST, Hubble, Spitzer, Chandra, ESO, SDSS, ALMA. Pre-analysis on local data products before publication.
GBIF, OBIS, NOAA, USGS earthquake data, air quality, ice cores. Federated analysis across institutional datasets.
Materials Project, NIST, COD. Quantum-computing algorithms, error correction. IBM Quantum and arXiv:quantum search.
Allen Brain Atlas, OpenNeuro, NeuroMorpho. Subject-level data stays in the institution; only the analysis flows.
Guide-RNA design, off-target analysis, base editing, prime editing. Sequence pipelines on your own corpus, not a third-party API.
Multilingual citizen Q&A, document classification, multilingual help-desk. Your own infrastructure, your own data-protection law, the audit ledger procurement asked for.
Air-gap installs, hardware-bound licenses, signed RPM repositories on USB. No external dependencies at runtime. Source-code access under Custom tier. (deeper conversation — write to office@eldric.ai)
If your industry or workload is not above and your data has the same "cannot leave the building" property, Eldric likely fits. Write to office@eldric.ai and tell us what you are trying to do.