Prisma AIRS is an AI security platform built by Palo Alto Networks. It sits within the company’s Secure AI by Design portfolio. The platform covers the full AI lifecycle, including internal AI applications, third-party models, autonomous agents, and datasets. It targets a specific problem: AI adoption is moving faster than traditional security controls can track. […]
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64 tools selected.
Daloopa is a financial data infrastructure platform built for public equity professionals, institutional investors, and AI developers. It provides structured, source-linked financial data covering more than 6,000 public companies worldwide, with up to 14 years of historical depth. The company is based in New York and was founded in 2018. The platform targets a specific […]
PatSnap is an AI-powered innovation intelligence platform that connects patent data with R&D, market, and commercial insights. It aggregates global patents, academic literature, clinical trials, regulatory filings, and company profiles. Organizations use it to analyze technology landscapes, evaluate competitors, and support innovation decisions. The platform targets a core problem in IP research: fragmented data spread […]
IPRally is an AI-powered patent search platform built for IP professionals, patent attorneys and R&D teams. It targets prior art searching, invalidity analysis, freedom-to-operate screening and technology landscaping. The tool is made by IPRally Technologies Oy, based in Helsinki, Finland. Instead of relying on Boolean strings and classification codes, IPRally uses Graph Neural Networks to […]
LegalFly is a legal AI platform built for in-house legal, compliance, and procurement teams. It combines contract review, document drafting, multi-document due diligence, and legislative monitoring in one system. The tool targets the bottleneck of slow manual contract review that occurs when volume spikes. Contracts are analyzed clause by clause against the organization’s approved playbooks. […]
Coalesce is a data operations platform built by Coalesce Automation, Inc. It combines data transformation, cataloging, and quality monitoring into one system. The platform runs natively inside cloud data environments such as Snowflake, Databricks, Google BigQuery, and Microsoft Fabric. The tool targets the fragmentation common in modern data stacks. Teams often stitch together separate tools […]
Soda is an AI-powered data quality and observability platform built by Soda Data Inc. It detects, explains, and helps resolve data quality issues before they reach downstream systems. The platform targets missing, duplicated, or invalid records that degrade analytics and machine learning models. Engineers can run Soda as code through CLI and Git, while business […]
DeepSource is an automated code health, static analysis, and code security platform from DeepSource Inc. It connects to version control systems such as GitHub, GitLab, and Bitbucket to scan code during pull requests and commits. The tool targets a common problem in engineering teams: manual peer reviews are time consuming and often miss security flaws, […]
Sherlocks AI is a Site Reliability Engineering platform that positions itself as an autonomous on-call teammate. It monitors system alerts and runs root cause analysis across cloud infrastructure, application code, telemetry, and deployment pipelines. Findings are delivered directly into Slack and Microsoft Teams. The platform targets the manual triage work that slows down incident response. […]
Ragas is an open-source framework built by Exploding Gradients for evaluating and monitoring Retrieval Augmented Generation (RAG) pipelines. It gives developers automated metrics to assess retrieval quality and generation quality without relying solely on manual review. The tool addresses a common problem in RAG evaluation. When a chatbot gives a wrong answer, teams often cannot […]