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- # FLOWX.AI
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- **The agent orchestration platform for regulated industries.**
 
 
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- FlowX.AI helps banks, insurers, and other regulated enterprises build, run,
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- and *govern* production AI agents on top of the systems they already have.
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- The platform is LangGraph-native and pairs agent building with a real
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- governance layer — observability, policy enforcement, ROI measurement, and
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- EU AI Act compliance.
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- This is where we open-source the model side of that work. Everything here
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- targets a real bottleneck in regulated AI from compliance-grade text
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- understanding to the generation models that power the platform itself.
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- ## Available now
 
 
 
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- **CEE PII Detector (cee-pii)**: multilingual PII detection fine-tuned on GLiNER, weighted for Central & Eastern European languages most detectors ignore. Benchmarked on cee-pii-bench.
 
 
 
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- **Scam & Fraud Detector**: scam-guard-qwen17b (1.7B) and scam-guard-qwen06b (0.6B), Qwen3 fine-tunes for scam and fraud patterns. Evaluated on scamguardbench.
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- **Contract Red-Flag Explainer (caveat)**: on-device model that spots and explains risky clauses in plain language ("what am I actually signing?"). Runs privately in English, Romanian, Polish, and Hungarian, returns structured JSON across a 34-clause taxonomy. Qwen3-4B fine-tune, benchmarked on RedFlag-Bench.
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- ## Coming soon
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- - **Ontology Model** — generates and maps domain ontologies for agent grounding.
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- - **BPMN Generation** *(planned)* — natural language → BPMN process models.
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- - **UI Generation** *(planned)* — interfaces generated on the fly.
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- **Follow us** to get these the day they drop.
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- [flowx.ai](https://flowx.ai) · [github.com/flowx-ai](https://github.com/flowx-ai) · [LinkedIn](https://linkedin.com/company/flowxai)
 
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+ # FlowX.AI
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+ **Open, on-device AI for regulated industries.** We build small, private, fast models that run
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+ on-premise with **zero data egress**, so banks, insurers, and logistics operators can use AI
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+ without sending customer data to a cloud.
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+ ## 🧠 OpenNER small on-device extraction models
 
 
 
 
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+ 28 fine-tuned encoder models for structured extraction, PII detection, and de-identification.
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+ **Apache-2.0.** Benchmarked against the latest frontier LLMs (GPT-5.4, Gemini 3.x, Claude Haiku):
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+ matching or beating them on structured extraction at **~100 ms/doc, $0, and zero data egress**.
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+ - 🏦 **[FlowX Banking Models](https://huggingface.co/collections/flowxai/flowx-banking-models-6a5c9be270b1ab8d0c02566d)** — IBAN/PAN/KYC/AML + SEC-filing facts (8 models)
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+ - 🛡️ **[FlowX Insurance Models](https://huggingface.co/collections/flowxai/flowx-insurance-models-6a5c9be2ed35b4a126afe56d)** — policy/claims/VIN + GLBA·HIPAA de-id (8 models)
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+ - 🚢 **[FlowX Logistics Models](https://huggingface.co/collections/flowxai/flowx-logistics-models-6a5c9be213707fd7f44728ab)** — container/port/hazmat/bill-of-lading + trade de-id (7 models)
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+ - 🌐 **[FlowX Cross-Industry Models](https://huggingface.co/collections/flowxai/flowx-cross-industry-models-6a5c9be38707b1635019b044)** — multilingual PII (9 languages), privacy filter, invoice/CV/KYB (5 models)
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+ Every identifier is **checksum-validated** (IBAN mod-97, card Luhn, ISIN/LEI, container ISO-6346,
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+ VIN, 8 national IDs). Ships with a de-identification engine (6 policy profiles + signed audit
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+ reports) and ONNX / INT8 edge exports. Runs on CPU, Apple Silicon, one GPU, or in the browser.
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+ ## Other model families
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+ - **Semantic Mapper · Sentinel Gate** — ontology extraction + escalation gating
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+ - **Scam Guard** — scam / fraud detection
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+ - **BPMN Gen** — business-process generation
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+ ---
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+ *Small models, on your hardware. Apache-2.0. [flowx.ai](https://flowx.ai)*