Agnost AI vs Ventorah: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Agnost AI and Ventorah — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Agnost AI

Agnost Tech Inc

Freemium

Product analytics for conversational agents that surfaces silent failures, user frustration and policy violations across every conversation.

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.

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.

Freemium

Browser-native CFD: upload a 3D model and run a validated virtual wind tunnel — streamlines, pressure fields, lift and drag — all in your browser.

In-browser 3D Viewer: WebGL viewer that renders STL, OBJ, STEP, IGES, GLB, and FBX with orbit, wireframe, transparency, bounding box, and measurement tools.
Virtual Wind Tunnel: Animated streamlines, velocity vectors, pressure and velocity contours, vorticity, wake, and flow separation rendered live during the solve.
Full Flow Setup: Configure speed, direction, density, temperature, pressure, humidity, altitude, fluid, and turbulence model per run.
Engineering Results: Reports Cl, Cd, Cm, Reynolds, Mach, forces, centre of pressure, and surface maps — exportable to CSV and PDF.
Interactive Charts: Lift-vs-angle, drag-vs-speed, pressure and velocity histograms, plus residual convergence and mesh statistics.
Comparison Tool: Overlay two runs side by side and read a performance difference table across pressure and airflow.
AI Aero Assistant: Explains flow separation, high drag causes, and suggests design changes; can run on the user's own Claude key.
Validated OpenFOAM Backend: Parallel snappyHexMesh + simpleFoam in Docker, benchmarked to within about 10% of published wind-tunnel data.

Airfoil analysis: Study Cl, Cd, and stall behaviour on airfoils like NACA 0012 without booking a physical wind tunnel.
Drone frame optimisation: Simulate flow around quadcopter and drone frames to reduce drag and improve efficiency.
Automotive aerodynamics: Rapidly iterate on car body geometries and read off aero coefficients before CAD sign-off.
Rapid design iteration: Compare two design variants side-by-side and quantify aerodynamic improvements.
Teaching and demos: Run browser-based aerodynamics demonstrations without installing OpenFOAM locally.
BYO compute: Point Ventorah at a user's own OpenFOAM worker and Claude API key for private, unlimited runs.