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Trueframe live · data annotation

Securing & automating
the cloud frontier

High-throughput engines that protect health databases, deliver cataloged media galleries, run industry chatbots with live analytics, and label training data — healthcare, retail, manufacturing, banking, education, and industrial HR — with envelope encryption by default.

99.99%Enterprise SLA
120M+Daily requests
AES-256Envelope encryption
v2c_master.dash
Network ingestion
4,812 req/s
Database guard
Zero threats
All nodes encrypted
Storage utilized
94.8%
1.2 TB used · 10 TB free
Enterprise architecture

Integrated cloud suite

Select a component on the left to inspect its live console. Each engine shares the same encrypted control plane.

Suite control

Components

Select engine target console

Trueframe

Data annotation
Demo ↗

medicure.app

Health records
Demo ↗

photosflow.app

Gallery delivery
Demo ↗

digitalhrflow

Workforce index
Demo ↗

Datamind

Industry chatbot + analytics
Demo ↗
Enterprise SLA
99.99%
Multi-region active configurations with sub-second health switches.
Daily requests
120M+
Distributed load serving global endpoints with high-throughput pipelines.
Data protection
AES-256
Envelope encryption keeping metadata entirely zero-knowledge.
Connect architecture

How a deployment lands

Same control plane for every product. Region, encryption, identity, LLMs, and Vision AI are configured once.

LLMs · Claude · GPT-4o · Llama 3.1 Vision AI · Imaging · OCR · Line QC Retrieval · Cited industry index
01 — Provision

Map your region pair

Choose active-active cells. Traffic fails over in under a second without rewriting product code.

02 — Encrypt

Envelope keys, not shared disks

AES-256 envelope encryption isolates tenant metadata. Keys never leave the customer boundary.

03 — LLMs

Reasoning on your corpus

Claude, GPT-4o, and Llama 3.1 sit behind Datamind and digitalhrflow. Prompts stay in-region; answers are cited, not free-floating.

ClaudeGPT-4oLlama 3.1
04 — Vision AI

See scans, shelves, and lines

Vision models read radiology and bedside imaging, tag photosflow galleries, OCR contracts, and flag manufacturing defects on the line.

Medical imagingOCRLine QC
05 — Retrieve

Industry index, not a blank chat

Each chatbot is scoped to one industry. Retrieval pins the sheet, policy clause, POS file, or MES stream before the LLM writes.

06 — Operate

One console, five engines

Health records, galleries, workforce, Datamind, and Trueframe share identity, audit, model routing, and throughput SLAs.

Clarity

Questions teams ask first

Is this a single platform or five products?

Five independently deployable products on one encrypted control plane. Buy one engine or the full suite — identity, audit, and region failover stay shared.

Where does data reside?

You pick the region pair at provisioning. Envelope encryption keeps metadata zero-knowledge to V2C operators.

Can we start with a single product?

Yes. Most teams begin with medicure.app, Datamind, or Trueframe, then add photosflow.app or digitalhrflow without a migration.

What can Datamind answer?

Each deployment is an industry chatbot plus a live analytics board. Healthcare asks occupancy, ER wait, and specialities. Retail asks sell-through and reorder flags. Manufacturing asks OEE and throughput. Banking, education, and industrial HR use the same pattern — cited answers next to the KPI that moved.

Which LLMs and Vision AI do you run?

Text: Claude, GPT-4o, and Llama 3.1, routed in-region. Vision AI covers medical imaging, gallery tagging, document OCR, and line QC. You can pin a model per product or let the control plane choose by latency and residency.

How do demos work?

Use the consoles above for a sandbox, then request a session. An architect follows up within one business day.

Request access

Book a platform demo

Tell us about compliance needs, region targets, and which engine should go first.

Consultation booked

A systems architect will contact you within the next 24 business hours.