Agnost AI vs Ailytics - Smarter Vision: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agnost AI and Ailytics - Smarter Vision — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Agnost AI
Agnost Tech Inc
Product analytics for conversational agents that surfaces silent failures, user frustration and policy violations across every conversation.
Key features
- Silent Failure Detection: Reads each trace next to the conversation to catch cases where the run reported success but the user got nothing useful, including broken promises and confidently wrong answers.
- Automatic Conversation Clustering: Turns thousands of chats into ranked recurring problems, ordered by user impact and ready to investigate rather than left as raw logs.
- Frustration and Churn Signals: Pinpoints where users rage-prompt, get stuck or abandon the conversation, so churn drivers are visible before the user leaves.
- Policy and Quality Violation Alerts: Flags hallucinations and quality, policy and compliance breaches with the exact conversation and trace behind each one.
- Evidence-Backed Fix Recommendations: Hands over the highest-impact fixes with supporting evidence, a recommended change and the evals needed to ship it safely.
- Two-Step Skill Install: Connects to an existing agent by installing an agent skill and running one prompt, with no rebuild of the agent and no separate implementation project.
- Feature Request Mining: Surfaces what users repeatedly ask for across conversations, turning support volume into a prioritised roadmap signal.
- Live Demo Without Signup: Ships a public interactive demo where you can click any insight and inspect the underlying conversations before creating an account.
Best for
- Diagnosing Agent Churn: Finding the recurring conversation pattern that makes users abandon a support agent, with the specific chats as evidence.
- Auditing Production Agents for Compliance: Reviewing conversations for policy violations and unsupported claims across real traffic rather than a hand-picked sample.
- Prioritising Agent Improvements: Deciding which prompt or flow to fix next based on how many users hit each failure cluster instead of on anecdote.
- Catching Regressions After a Prompt Change: Watching whether a newly shipped change increases silent failures or user frustration in live conversations.
- Building Evals from Real Failures: Turning observed production failures into regression evals so the same bug does not ship twice.
- Mining Conversations for Roadmap Input: Extracting repeated feature requests from support and sales chats to feed product planning.
Ailytics - Smarter Vision
Ailytics
AI-powered video analytics platform that converts existing CCTV into 24/7 Smarter Vision for safety and productivity in heavy industries.
Key features
- AI Video Analytics: Processes live and recorded CCTV feeds to identify safety incidents, operational anomalies, and events of interest without replacing existing cameras.
- 24/7 Monitoring: Continuous, always-on analysis that flags incidents and trends in real time to reduce response time and improve situational awareness.
- Operational Insights: Quantifies productivity and process metrics from video data to help teams identify inefficiencies and optimize workflows on site.
- Scalable Integration: Designed to convert existing CCTV infrastructure into smart sensors and integrate with partner platforms and third-party systems for end-to-end workflows.
- Industry-Tuned Models: Models and detection logic tailored for heavy industries (construction, manufacturing, logistics) to handle real-world conditions and site variability.
- Alerting & Reporting: Generates actionable alerts and consolidated reports to support incident response, compliance auditing, and management decision-making.
- Project & Progress Tracking: Uses visual analytics to monitor project progress and site activities, enabling better planning and resource allocation.
- Converts existing CCTV infrastructure into AI-powered continuous monitoring
- 24/7 monitoring for safety, productivity, progress and security use cases
- Real-time event detection and alerting for incidents and unsafe conditions
- Analytics dashboards and metrics for operational insights
- Use-case templates tailored for construction, manufacturing and heavy industries
- Integrations and partnerships with camera/cloud providers to enable deployments
- Scalable deployments suitable for industrial environments (on-site/edge and cloud options implied)
- Case study / use-case driven implementation to map detections to operational workflows
Best for
- Construction Site Safety Monitoring: Continuous detection of unsafe events or hazardous conditions to reduce accidents and enforce safety protocols across large sites.
- Manufacturing Line Oversight: Identifying operational bottlenecks and anomalies on production lines to minimize downtime and improve throughput.
- Logistics Yard Management: Monitoring vehicle movements, loading/unloading operations, and yard activity to prevent collisions and optimize operations.
- Site Security & Intrusion Detection: Using CCTV feeds to detect unauthorized access, perimeter breaches, and suspicious activity for faster security response.
- Project Progress Tracking: Visual tracking of construction or installation milestones to validate progress, support reporting, and inform stakeholders.
- Compliance Monitoring: Capturing evidence and trends to demonstrate adherence to safety procedures and regulatory requirements in industrial environments.
- Construction site safety monitoring and incident detection
- Manufacturing line safety and productivity tracking
- Progress monitoring for project management and reporting
- Site security and intrusion detection using CCTV feeds
- Operational efficiency analysis and anomaly detection in heavy industry