Deep Theta transforms proprietary scientific and engineering data into structured, AI‑ready intelligence — while the organizations that built it retain full ownership and control.
The world's most important technical knowledge — property curves, test results, handbook tables, proprietary research, experiment failure data, unpublished findings, decades of peer-reviewed measurement — still lives in PDFs, scans, and legacy databases. AI systems are only as good as the data beneath them, and the organizations that curated that data should lead as it becomes machine-usable. Not be left behind by it.
Your datasets remain your intellectual property — always. Every engagement is governed by terms you set, with usage that is metered, auditable, and revocable. Nothing moves without your permission.
Extraction, structuring, unit normalization, provenance tracking, expert validation — Deep Theta handles the deep technical work of making complex scientific data usable by modern AI systems.
Once AI-ready, your data can power new products, subscriptions, and partnerships — delivered through channels you approve, with your brand and attribution preserved on every record.
A disciplined pipeline built for the hardest technical data — engineered under the same standards we apply to national security work.
Scanned handbooks, PDFs, spreadsheets, legacy databases, lab notebooks, plots that only exist as images.
Records normalized to rigorous domain schemas — materials, conditions, test methods, units — with source provenance attached to every value.
Automated physics-aware checks plus domain-expert review. Outliers, transcription errors, and unit mismatches are caught before they ever reach a model.
Your data reaches users through channels you approve — secure MCP servers, governed APIs, or specialized AI models — metered and attributed.
AI-ready doesn't mean given away. Deep Theta builds governed channels that put your data to work inside the tools engineers and scientists already use — with control, metering, and attribution built into every one.
We stand up dedicated Model Context Protocol servers for your datasets, so industry can query your data inside their AI workflows — live, licensed, and attributed. Every request is authenticated and metered; access can be scoped or revoked at any time.
Deep Theta builds domain-specific models on properly licensed corpora — engineering copilots that answer with your validated data behind them, not internet guesses. Your data stays inside a controlled system, never released as raw datasets.
Structured access for your existing customers and partners under contracts you control — enterprise APIs, subscription products, and institutional licensing with complete usage auditability.
Your IP stays yours in every engagement, contractually.
Every record traces to its source document and page.
Metered, authenticated, auditable — and revocable.
Processing can run fully offline, inside our perimeter.
Distribution happens only through channels you approve.
Materials and engineering data is unforgiving: temperature-dependent curves, condition-specific properties, decades of evolving test standards. Generic data pipelines mangle it. Ours was built for it.
Thermal, mechanical, and electrical properties as functions of temperature — digitized, normalized, and interpolation-ready.
Designations, heat treatments, tempers, and product forms resolved to canonical identities across naming systems.
S-N curves, creep-rupture tables, and fracture toughness data with test conditions faithfully captured.
Phase diagrams and transformation data extracted from plots and tables into machine-readable form.
Dense reference tables converted to structured records without losing footnotes, caveats, or applicability limits.
Unstructured historical reports mined for validated data points that would otherwise stay buried.
Deep Theta's proprietary deep learning has been deployed against hard signals across seven domains. That's why we understand exactly what AI systems need from data — and exactly how valuable well-curated data is.
Behavioral anomaly detection across live network telemetry.
Predictive quality intelligence on the production line.
Clinical pattern recognition in complex patient data.
Automated interpretation of hard-to-read signals.
Real-time risk detection in operational environments.
Fraud and disruption intelligence at scale.
Deep Theta's machine learning algorithms have been used by partners such as the United States Air Force and the National Security Agency. We operate under a Cooperative Research & Development Agreement with the U.S. Air Force — and we bring that same discipline to every dataset entrusted to us.
Provider data is processed inside Deep Theta's own sealed, air-gapped environment — no cloud calls, no telemetry phoning home, no external model APIs. And for data that can never leave your walls, we can deploy inside your perimeter instead.
Every model, every inference, every update mechanism can operate fully offline. Updates ship via controlled physical media. Zero external connectivity, ever.
Provider data is never fed into public or third-party foundation models. It is used only for the purposes you contract — nothing more.
Every access, transformation, and delivery event is logged. You can see exactly where your data went, who used it, and under which terms.
Whether it's a century of handbooks or a single irreplaceable database, we'd like to hear about it. Initial conversations are confidential and carry no obligation — we're happy to sign an NDA before you share anything.