The clinical AI governance market reaches $71.1B by 2036 and it is almost entirely blocked today by the absence of a per-output audit chain. Teleox.ai ships that chain as a native property of the model, not as an expensive consultancy engagement. Deterministic LoRAs structurally forbid fabricated diagnoses, off-label recommendations, or hallucinated lab values. Every output carries a cosine score against the clinician-approved constellation plus a human-readable rejection reason. Meaning extraction produces 100x+ labeled signal from your existing records without synthesising a single token. On-prem, air-gapped: PHI never leaves the covered entity.
ON-PREM · AIR-GAPPED · PHI STAYS INSIDE THE COVERED ENTITY
“Healthcare information is extremely context-specific and nuanced… medical AI must be designed to augment clinical decision making… it can’t be off-the-shelf — it must be purpose-built.”
Clinical AI without per-output verification fails first review. On-prem data sovereignty is now a compliance floor, not a nice-to-have. The mandate is active: Mayo Clinic, University of Utah Health, Premier Health, and BayCare have all appointed dedicated AI leadership in the last twelve months. Mass General Brigham opened HIMSS 2026 by stating that its whole enterprise strategy is “enabled by AI.”
Three independent analyst projections converge on the same architecture: deterministic, on-prem, per-output-verified clinical AI. The $71B governance TAM is the wrap. The $2.85T discovery TAM is the sandbox. The $59.7B imaging TAM is the routed inference layer. One infrastructure serves all three.
CEILINGS, NOT COMMITMENTS · THESE ARE INDEPENDENT ANALYST PROJECTIONS
Run the multi-embedder decomposition (9+ embedders today, scaling to 50+) across your own EHR notes, imaging studies, genomics, or discovery corpora. Produce 100x+ labeled training signal via meaning extraction — not synthetic generation. No token is fabricated, so Shumailov-style model collapse does not apply: there is no feedback loop. The output is a labeled, dimension-spanned training substrate that stays inside the covered entity and is ready for fine-tuning any foundation model of your choosing.
Three enforcement layers force behavior boundaries arithmetically. Layer 1: a learned LoRA that trains the behavior manifold. Layer 2: a constrained decoder that cannot emit off-boundary tokens — no prompt engineering, no adversarial suffix, no multi-language injection can defeat it. Layer 3: a 13-embedder Constellation Guard that re-embeds every output, checks geometric boundary compliance, and returns a human-readable rejection reason when a generation drifts. Layer 2 of the enforcement stack is arithmetic — prompt injection, system-role injection, and multi-language injection cannot defeat it.
Every ambient scribe, imaging model, and discovery pipeline routes through the Teleox determinism-plus-provenance layer to pass FDA CDS, EU AI Act, HIPAA, and ONC HTI-1 review. Abridge ($5.3B, 150+ health systems, frontier wrapper), Ambience Healthcare ($1B, same absorption risk), Suki (being commoditized by free Heidi and Freed), Nuance DAX Copilot (bundled into Microsoft’s hyperscaler absorption), and Hippocratic AI ($402M Series C, voice beaten by TCT 0.961 SECS) are all workflow layers on someone else’s model.
Teleox is the verification substrate they all route through. The scribe vendor churns. The model vendor gets absorbed. The trust layer endures.
Epic Cosmos, Oracle Health, and Mayo Clinic Platform are partners, not competitors — Teleox wraps whichever EHR-native AI your institution runs as the determinism-plus-provenance layer. Insilico, Recursion, BenevolentAI, Exscientia, and Atomwise are partnership targets for drug-discovery meaning maps, not displacement targets.
TCT meaning extraction plus LoRA determinism produce ambient clinical notes that are provably traceable to source dialogue and structurally incapable of fabricating diagnoses, medications, or lab values. Satisfies FDA CDS transparency and EU AI Act Art. 13 transparency-to-clinician requirements. Voice cloning at 0.961 WavLM SECS enables zero-latency patient-facing readback with identity-locked output.
Pharma cannot send proprietary molecule, target, or patient-level trial data to frontier APIs — it is the central blocker on every generative-AI-in-discovery initiative. TCT’s 100x+ labeled signal runs behind the customer firewall. Partnership posture with Insilico, Recursion, BenevolentAI, Exscientia, Atomwise, and Mayo-Merck programs; direct sell to top-20 pharma R&D CIOs who need sovereign infrastructure for their $2.85T-TAM discovery stack.
Provides the FDA, EU AI Act, and ONC HTI-1 governance artifacts that every clinical-AI vendor must produce — the Art. 11 technical file, the per-output provenance trace, the transparency-of-basis record. The “wrap” play: sold into the governance budget, not the scribe budget, and sits underneath every ambient scribe, imaging model, and decision-support pipeline the institution runs.
Your CAIO or CISO owns the mandate. You own whether the deployment clears review.
Bring Teleox to your 15-minute AI-governance standing meeting — we’ll ship you a 48-hour POC on a slice of de-identified data your team picks. No cloud hop. No PHI egress. You keep every artifact whether or not you move forward.
Bring it to your standing meeting →Teleox.ai is an on-prem clinical-AI infrastructure built around two pillars: meaning extraction across 9+ embedders (producing 100x+ labeled training signal from your own EHR, imaging, and discovery data) and deterministic LoRAs that arithmetically constrain model outputs. Because the entire stack runs inside the covered entity’s firewall, PHI never leaves the institution, which satisfies HIPAA §164.312(a)(1) and (c). Per-output cosine verification and injection-resistant evidence are designed to generate the artifacts required under EU AI Act Articles 9–15 (enforcement August 2, 2026) and FDA CDS Guidance updated January and March 2026.
Teleox prevents clinical hallucinations structurally, not with post-hoc filtering. Three enforcement layers — a learned LoRA, an arithmetically constrained decoder that cannot emit off-boundary tokens, and a 13-embedder Constellation Guard that re-embeds every output and returns a human-readable rejection reason when a generation drifts — make the model incapable of fabricating a diagnosis, medication, or lab value that is not supported by the source encounter. Layer 2 of the enforcement stack is arithmetic — prompt injection, system-role injection, and multi-language injection cannot defeat it.
Yes. The entire Teleox.ai stack is air-gapped-capable and deploys on hardware the health system owns. Training, inference, and guard verification all run inside the covered entity, so PHI never traverses a hyperscaler boundary. The stack is model-agnostic and wraps open-weight models (Llama, Mistral, Gemma) for fully on-prem clinical workloads, removing the BAA-plus-egress risk of routing PHI through OpenAI, Microsoft Azure OpenAI, or Google Vertex.
Yes — Epic Cosmos and Nebula, Oracle Health (Cerner), and Mayo Clinic Platform are partnership-posture, not displacement. Teleox wraps whichever EHR-native or ambient-scribe AI the institution runs as the determinism-and-provenance layer underneath. Every ambient scribe, imaging model, and clinical decision-support pipeline routes through the Teleox verification substrate to produce FDA CDS transparency artifacts, EU AI Act Article 11 technical documentation, and HHS ONC HTI-1 DSI attribute sets.
The 48-hour POC runs on a slice of de-identified data your team picks — encounter notes, imaging studies, or a discovery corpus — inside your own environment. Day one: install the stack behind your firewall, ingest the sample, run meaning extraction across 9+ embedders to produce 100x+ labeled signal. Day two: train an intent-locked LoRA for the target workflow, activate the Constellation Guard verification layer, and hand you Constellation Guard verification results plus per-output cosine scores on a working demo. You keep every artifact. No cloud hop. No PHI egress.
On-prem. Air-gapped. 100x+ meaning-labeled signal from your own records. Deterministic LoRAs that cannot drift off-boundary. Per-output verification your governance team can hand to FDA, EU AI Act auditors, and your compliance board on day one.
ON-PREM · AIR-GAPPED · ZERO PHI EGRESS · ZERO OBLIGATION