Extract
Detect, read, and locate what matters across images, video, audio, documents, and spatial sources.
CONTEXTFORMERS PRODUCTS
The same AI engine — detection, indexing, search, and redaction — pointed at whatever holds your information. A tape library, a building, or a 1974 blueprint.
Formerly VizmoAI
01 · MEDIA
Video archives → searchable moments
AI-powered search for broadcast archives, documentary houses, and licensing teams. Find anyone, anywhere, any moment — across faces, voices, dialogue, location, and visual context.
02 · SPATIAL
360° indoor scans → asset maps
Capture 360° panoramas with simultaneous LiDAR scanning. Multi-view AI detects safety equipment, signage, and medical assets at any camera angle, then maps every detection to exact floor plan coordinates.
03 · SPATIAL
Construction drawings → GIS-ready data
Ingest decades of construction drawings, blueprints, photos, and drone footage. AI detects utility assets across electric, gas, water, wastewater, and telecom systems, then aligns them to real-world coordinates and validates network connectivity.
ACROSS ALL THREE
Redaction is not a fourth product. It runs inside every application, before anything is stored, shared, or handed to a downstream system.
How redaction worksPeople, monitors, whiteboards, printed records, and anything else showing readable or identifiable information.
Obfuscation is applied before imagery enters storage, sharing, or downstream processing — on whichever deployment model you run.
Every detection and redaction is logged — what was found, where, and the method applied — ready for regulatory review.
DATA SOURCES WE CONNECT
THE ENGINE
The same four steps run underneath every application. What changes between them is the source material and the output schema, not the intelligence in between.
Detect, read, and locate what matters across images, video, audio, documents, and spatial sources.
Connect detections to the customer's own people, assets, places, terminology, and source evidence.
Confidence, cross-source corroboration, and human review before anything is treated as fact.
Structured output into search, GIS, asset systems, APIs, and the workflows already in use.
Trust runs through every step: privacy, governance, provenance, confidence, and human review.
THE SHARED ENGINE · GEOAI + MULTIMODAL AI
Multimodal AI for media archives, GeoAI for the physical world — one pipeline, in the detail a spatial engagement actually runs through.
Paper archives, PDFs, 360° imagery, LiDAR scans, drone footage, CAD files, and GIS layers — all ingested, tiled, and normalized into a unified processing pipeline.
Computer vision detects assets, symbols, text labels, and spatial features. OCR reads equipment tags. LiDAR fusion computes millimeter-accurate X, Y, Z coordinates for every detected object.
Geospatial alignment transforms plan-sheet coordinates into real-world positions using street references, parcel data, control points, and existing utility networks — eliminating spatial drift.
Cross-references extracted features against street view, drone imagery, and field records. Flags mismatches for engineering review. Confirms what exists versus what was designed.
Automated PII anonymization detects and obfuscates faces, people, and sensitive areas in 360° imagery immediately after capture — ensuring compliance before data enters any system.
Merge validated spatial intelligence into enterprise GIS, facility management, and operational systems — creating a connected, living digital model of the real world.
OUTCOMES
Convert decades of paper and PDF engineering archives into searchable, GIS-ready digital assets — eliminating months of manual work per project.
Fuse construction drawings, imagery, LiDAR, and field data into one authoritative spatial model that reflects real-world conditions.
Validate utility networks, map transponders and equipment, and flag discrepancies between records and field conditions automatically.
Measure ADA clearances, verify safety equipment placement, compare field conditions against design plans, and audit spatial compliance.
AI EXTRACTION LAYER
We combine multimodal AI with enterprise data and spatial intelligence to extract the signals your systems can search, govern, analyze, and act on.
Recognize faces, distinguish speakers, track recurring people, and connect appearances across time and source quality.
Turn spoken content into time-coded transcripts, dialogue, topics, summaries, and natural-language search context.
Detect objects, logos, scenes, actions, on-screen text, and the relationships that explain what is happening.
Extract landmarks, mapped locations, facility assets, plan details, and geospatial relationships from visual and spatial sources.
Structure fields, entities, tables, relationships, and governed metadata across documents and connected business systems.
Surface conditions, changes, anomalies, workflow states, and decision-ready signals for analytics and automation.
WHO IT'S FOR
Find your title below. The application it sits under is the place to start — or browse by industry if your sector is the faster way in.
People who own an archive nobody can search without watching it.
People responsible for what is inside a building, and who may see it.
People whose records never made it into the system of record.
Your data is isolated from every other customer's on every deployment model. No commingling, no cross-tenant access, no shared indexes.
Shared cloud, a dedicated single-tenant instance, or deployment inside your own infrastructure. Which one fits depends on your data sensitivity and regulatory obligations — we scope it with you rather than assuming a default.
Faces, screens, documents, and sensitive areas are detected and obfuscated at capture — a compliance gatekeeper, not just a feature.
Your identity index, your landmarks, your configuration. Data handling, retention, and model-use terms are set per engagement and written into the agreement.
GET IN TOUCH
Send us an archive sample, a set of drawings, or a facility scan. We'll run it and return the extracted results.
hello@contextformers.com