Secure AI
systems that ship.

AI-assisted document intelligence for classifying multi-file RFP packages, extracting obligations, and turning pursuit material into usable proposal workflow artifacts.

• Classifies specifications, schedules, forms, drawings, legal language, constraints, and supporting material by business relevance
• Extracts requirements, milestones, scope items, risks, interfaces, constraints, and compliance references
• Grounded Q&A returns answers with references back to source documents, pages, or content segments where available

A governed staff intelligence layer that combines resumes, questionnaire responses, project history, deliverable evidence, and curated narratives into defensible profile recommendations.

• Separates authoritative business data, curated profile data, source-resume evidence, and AI-derived suggestions
• Surfaces skills, domains, project exposure, client experience, deliverables, leadership indicators, and proposal proof points
• Keeps recommendations reviewable by showing why a person or profile is being suggested

A project evidence layer combining structured portfolio filters with semantic search over project narratives for faster pursuit research and stronger proof points.

• Search by client, market, phase, location, project type, technical scope, challenges, and delivered value
• Retrieves the right evidence inside each project, not just the right project record
• Helps teams reuse prior work without inventing claims or losing human review

Enterprise retrieval built around semantic search, structured knowledge relationships, deterministic routing, citation controls, and evidence-quality checks.

• Routes questions into the governed workflow before retrieval, instead of sending everything to a generic model
• Prefers current and authoritative references with citation context and document-version awareness
• Avoids over-answering when evidence is weak, missing, or ambiguous

A practical document review workflow that helps users compare versions, surface meaningful changes, and focus attention on areas that may require review.

• Supports side-by-side review, change summaries, risk-focused observations, and conversational exploration
• Organizes change information into clearer views without replacing reviewer judgment
• Helps teams understand what changed, why it may matter, and where to look next

A hardened agent runtime for restricted workloads with approvals, budgets, and sandboxed tool execution.

• Fully offline runtime with strict egress and allowlisted integrations (when permitted)
• Approval gates for high-risk actions and auditable tool calls
• Predictable usage controls with budgets and rate limits

A production AI workflow platform for turning technical project visuals into polished client-facing assets without losing geometry, workspace controls, or delivery traceability.

• Orb-based render intake with preflight validation, idempotent uploads, workspace scoping, and structured error handling
• Project-aware visual history: anchor views, additional views, revisions, masked edits, downloads, and delivery links
• Industrial delivery layer spanning construction sequences, flythrough assembly, CAD plugins, desktop workspace tooling, and branded artifacts

A native iPad companion combining AAC-style cards, parent-recorded voice, phrase ladders, routines, progress signals, and play-based speech practice in a child-safe interface.

• Toddler-readable world navigation with giant tap targets, calm visuals, and parent controls gated away from kid mode
• Local-first media layer for photos, recordings, bundled voice, system TTS fallback, routines, and card grids
• Speech-growth loop spanning AAC cards, phrase ladders, routine boards, progress logs, weekly digests, and play activities

A mobile learning product that turns beginner Mandarin practice into a calm daily habit built around short lessons, native audio, forgiving speech checks, review gates, and practical situations.

• Atlas model organizes content by real-life use cases instead of dumping a curriculum at the learner
• Offline Android spine with packaged content, audio assets, Room persistence, review state, rewards, analytics, and resume cursors
• Speech practice includes partial-result fallback, no-speech recovery, unavailable-recognizer handling, duplicate-start protection, and an escape path