Canvass AI provides an industrial AI platform that enables oil and gas, chemical, and manufacturing companies to optimize production processes and asset management through real-time predictive analytics and actionable insights. The technology addresses inefficiencies by minimizing unplanned downtime and enhancing product quality, resulting in significant cost savings and reduced environmental impact.
Funding
$20.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
YMFounders
Product
Problem
Enterprises struggle to extract actionable insights from vast, heterogeneous data sources—including documents, images, video, and audio—because existing tools require manual data hunting, siloed workflows, and specialized expertise, leading to slow decision-making and underutilized knowledge assets.
Solution
Canvass provides an enterprise AI platform that unifies data integration, knowledge graph construction, and retrieval‑augmented generation (RAG) to deliver real‑time, context‑rich answers to users. The platform connects to over 100 enterprise tools and ingest both structured and unstructured content, preserving full document context for trustworthy results. A library of purpose‑built AI agents automates role‑specific tasks and can execute actions within common business applications, while a model‑agnostic engine selects the optimal large language model from a catalog of 100+ public and private models for each query. Adaptive learning and fine‑tuning with customer data improve accuracy over time, and flexible deployment options (cloud, private cloud, on‑premise) ensure compliance with security and governance policies.
Target Audience
Primary customers are large enterprises across industries such as oil & gas, government, finance, healthcare, and manufacturing that need to empower technical and knowledge workers with AI‑driven insights and workflow automation.
Features
- Integration with 100+ enterprise tools and data sources, handling text, tabular, image, video, and audio formats
- Knowledge graph combined with RAG to provide traceable, document‑sourced answers
- Library of 100+ goal‑driven AI agents that can automate workflows and act within enterprise applications
- Model‑agnostic architecture that selects the best LLM per task from a large catalog of public and private models
- Fine‑tuning and adaptive learning using customer‑specific data to continuously improve performance
- Deployment flexibility (cloud, private cloud, on‑premise) with encryption, access controls, and audit trails for security and compliance
- Predictive model integration for proactive decision support and strategic planning