We help regulated industries move beyond pilots — operationalizing private, auditable GenAI inside your own perimeter. Faster time-to-value, lower TCO, zero data leakage.
From financial services to healthcare and public sector, our solutions wrap GenAI in the governance, observability, and isolation your industry demands — without forcing you to send a single byte of sensitive data to a third-party cloud.
Stand up a fully managed GenAI stack inside your VPC or on-prem. Model serving, vector store, retrieval pipelines, and prompt governance — all under your control.
Curated foundation models fine-tuned on your enterprise corpora. We bring the data-engineering rigor — you keep the IP and every token of training data.
Multi-step agents that operate inside your systems of record — with full traceability, human-in-the-loop, and policy-aware tool use out of the box.
The YF platform abstracts away model ops, retrieval, evaluation, and governance — so your teams ship production-grade AI applications in weeks, not quarters.
Serve, scale, and swap foundation models without touching application code. Built-in canary rollouts, A/B routing, latency-based autoscaling, and cost-aware inference routing across CPU/GPU pools.
Enterprise-grade RAG with hybrid search, re-ranking, citation, and document-level access controls. Connect to SharePoint, Confluence, S3, or your data lake — no copy needed.
Continuous evaluation across quality, safety, and compliance. Drift detection, hallucination scoring, and policy violations surface in a single dashboard — before users do.
End-to-end tracing from prompt to token. Track quality, latency, and dollar cost per request — broken down by team, use case, and model version.
Our reference architecture has been hardened across hundreds of enterprise deployments — from single-rack on-prem to multi-region sovereign clouds.
Connectors ingest structured & unstructured data with PII detection and lineage tracking out of the gate.
Domain adaptation via LoRA / full fine-tune, with reproducible datasets and eval-driven checkpoint selection.
Quantized, batched, autoscaled inference — on your GPUs, your cloud, or fully air-gapped on bare metal.
Every prompt, retrieval, tool call, and token is traced, scored, and auditable in real time.
YF AI was founded by a team of AI researchers, platform engineers, and former CISOs who lived through the first wave of enterprise ML — and saw firsthand why pilots stall at the door of compliance, cost, and trust. We build the software we wish we had: opinionated, secure, and operational from day one.
Every architectural decision starts from a threat model. Zero-trust by default, with explicit data-flow controls and tenant isolation enforced at the kernel level.
Our reference implementations are open. Enterprise features — SSO, RBAC, audit export, multi-region DR — ship as add-on modules with commercial SLA.
Lock-in is the enemy of long-term AI strategy. Swap foundation models, vector stores, or orchestrators without rewriting a single line of application code.