Turn visual evidence into operational decisions.
ANA Sentinel analyzes images and video, understands the operational context, applies your business rules, and returns structured, explainable decisions at scale.
Visual Evidence
Images, video, and camera feeds
Business Rules
Your context, criteria, and exceptions
Structured Decision
Verdict, confidence, and recommended action
Supporting ANA Labs
THE PROBLEM
You already have the evidence. The bottleneck is reviewing it.
Every day, companies generate thousands of images and videos through deliveries, inspections, claims, cameras, technicians, and field operations.
Someone still has to:
- Inspect the evidence
- Understand the context
- Compare it against company policies
- Determine whether the evidence is valid
- Decide what should happen next
At scale, this becomes expensive, slow, and inconsistent. Sentinel automates that decision layer.
HOW SENTINEL WORKS
From visual evidence to operational decision
One flow, four steps.
Receive Visual Evidence
Connect existing sources: uploads, APIs, batch processes, cameras, and video streams.
Understand the Context
Combine the evidence with claims, incident types, timestamps, locations, and operational metadata.
Apply Configurable Rules
Define what to detect, acceptance criteria, exceptions, thresholds, and escalation conditions.
Return a Decision
Get a structured verdict with confidence, reasons, evidence, and a recommended action.
PRIMARY PRODUCT
Sentinel Evidence
Automate decisions based on visual evidence.
Companies often receive photographic evidence before making operational decisions. Sentinel analyzes that evidence at scale and determines whether it supports the reported event or action.
Example use cases
Automate clear cases and send only uncertain or high-risk cases to human review.
BUSINESS OUTCOMES
Review less. Decide faster.
Sentinel creates value through measurable operational improvements.
Reduce manual review
Human operators focus on ambiguous cases instead of inspecting every image.
Reduce decision time
Large evidence volumes are processed automatically and in parallel.
Increase consistency
The same rules apply across large numbers of cases.
Reduce operational losses
Detect contradictory, insufficient, or high-risk evidence earlier.
Scale without scaling review teams
Evidence volume can grow without a proportional increase in human reviewers.
SECONDARY CAPABILITY
Sentinel Watch
Turn existing cameras into intelligent operational observers.
Sentinel can also analyze images or video from existing camera infrastructure and report relevant events.
Sentinel is an AI-powered visual early-warning layer that complements existing safety and monitoring systems — not a certified fire, alarm, or life-safety system.
Smoke or visible fire
Sparks or abnormal visual events
Restricted-area access
Safety events
Vehicles and machinery
Activity outside permitted hours
KEY DIFFERENTIATOR
Configure the decision, not a new AI project
Traditional computer-vision projects often require collecting data, labeling examples, training models, and developing a custom pipeline for each use case. Sentinel is designed around configurable visual intelligence.
Customers define:
Sentinel then uses multimodal AI and reusable platform components to evaluate the evidence. Most use cases begin without customer-specific model training — specialized models can be incorporated later when economics or accuracy requirements justify them.
BUILT TO SCALE
Built for visual evidence at operational scale
Sentinel is designed for:
High-volume batch processing
API-driven workloads
Parallel image analysis
Asynchronous processing
Enterprise workflows
Existing camera infrastructure
The Sentinel thesis is informed by direct experience building multimodal evidence-validation systems capable of processing tens of thousands of images per day in real operational environments.
HUMAN-IN-THE-LOOP
Automation with human control
Sentinel does not require every case to be automatically accepted or rejected. Organizations configure different confidence and risk thresholds.
High confidence
Automatic decision
Medium confidence
Routed to human review
High-risk case
Mandatory escalation
Human feedback is then used to evaluate and improve workflows over time.
DEPLOYMENT
Built to scale in the cloud
ANA Sentinel is designed as a cloud-native visual intelligence platform. Customers connect their visual evidence sources — applications, APIs, image repositories, operational systems, or compatible camera streams — and Sentinel performs the analysis centrally.
Process large evidence volumes in parallel
Scale compute according to demand
Deploy new workflows quickly
Update models and decision logic centrally
Support multiple customers from a common platform
Integrate with enterprise systems through APIs
Edge deployments
The default assumption is cloud deployment. Edge or dedicated on-premise processing is evaluated only for enterprise customers with specific requirements — data residency, limited connectivity, latency, or regulatory constraints.
USE CASES
Built for evidence-heavy operations
Sentinel applies to the industries where visual evidence already drives operational decisions.
Delivery & Logistics
Field Operations
Industrial Operations
Insurance & Claims
Construction
COMPANY
We are building the intelligence layer for visual operations
Who We Are
ANA Labs is a product company focused on ANA Sentinel.
We believe companies already generate enormous amounts of visual information, but most of that evidence still requires humans to interpret it before an operational decision can be made. Our mission is to make visual evidence actionable at scale — combining multimodal AI, business rules, operational context, and enterprise workflows to turn images and video into structured decisions.
Our Values
- Technical Depth
- Practical Innovation
- Close Collaboration
- Operational Reliability
- Measurable Impact
Frequently Asked Questions
Everything you need to know about ANA Sentinel.
What does ANA Labs do?+
ANA Labs builds ANA Sentinel, an AI-powered visual intelligence platform that transforms images and video into structured operational decisions.
What is Sentinel?+
Sentinel analyzes images and video together with operational context, metadata, and configurable business rules, and returns a structured, explainable decision — a verdict, a confidence level, and a recommended action.
What problem does it solve?+
Companies already generate huge volumes of visual evidence through deliveries, inspections, claims, and field operations. The bottleneck isn't obtaining the images — it's reviewing them at scale, understanding what they show, and deciding what to do next.
Is ANA Labs a consultancy?+
No. ANA Labs is a product company focused on Sentinel. We don't build custom AI projects per client — customers configure Sentinel to their use case.
Does every decision need to be fully automatic?+
No. Sentinel supports configurable confidence and risk thresholds — high-confidence cases can be automated, while uncertain or high-risk cases are routed to human review.
Do you need to train a custom model for our use case?+
Most use cases begin without customer-specific model training. Sentinel is built around configurable rules and multimodal AI; specialized models can be added later if accuracy or economics justify it.
Is Sentinel cloud-based or on-premise?+
Sentinel is cloud-first by default, which lets it scale across customers and process large volumes in parallel. Edge or on-premise deployment is available for enterprise customers with specific data residency, connectivity, or regulatory requirements.
What should I do if I'm interested?+
Request a demo through our contact form or email us at contact@analabs.tech — we'll walk through your use case and how Sentinel would apply.
Contact Us
Ready to see Sentinel in action?
Tell us about your use case and we will show you how Sentinel would apply.