Turbocharge your business with these 5 AI tools

Consumer-grade chatbots continue to stir controversy and spook scientists, but their adoption by businesses has grown, as illustrated by Anthropic’s recent blowout quarter.

But questions about AI’s measurable ROI have dogged the industry — until now. Businesses have come to realize the real competitive advantage lies in enterprise-grade AI platforms designed to solve complex operational bottlenecks.

As organizations scale, they inevitably collide with the same structural roadblocks. Data becomes siloed and expensive to manage, internal knowledge fragments across dozens of apps, cybersecurity threats grow increasingly sophisticated and employee productivity tanks as teams spend more time searching for information than actually executing. Overcoming these challenges requires purpose-built, secure solutions that integrate seamlessly into your existing architecture.

If you are ready to move beyond the generative AI hype and invest in infrastructure that actually impacts your bottom line, here are five powerhouse AI tools that are redefining how modern businesses handle data, fortify their defenses, and empower their workforce.

Glean Work AI Platform

The Glean Work AI Platform, operating through Amazon Web Services (AWS), serves as a centralized, AI-powered workspace. At its core, the platform leverages advanced Retrieval-Augmented Generation (RAG) to provide secure, permission-based access to an organization’s entire repository of internal data. By combining a sophisticated enterprise knowledge graph with web-sourced information, Glean enables highly contextual and accurate AI interactions.

Glean Agents are custom AI assistants that any employee can build using natural language, requiring zero technical expertise. Operating under enterprise-grade security and compliance standards, these agents transform complex, time-intensive workflows into streamlined, automated processes. 

Developers can build agents directly within the Glean app or use the Model Context Protocol (MCP) to develop agents natively on AWS Bedrock that are grounded in Glean’s enterprise context. Twelve-month contracts are available.

ClickHouse

ClickHouse Cloud Pay As You Go is a lightning-fast, fully managed, cloud-native online analytical processing (OLAP) database. Built by the original creators of the popular open-source ClickHouse database, it allows organizations to ingest massive volumes of data and execute complex analytical queries with sub-second latency. Because it separates compute and storage, the platform automatically scales resources up during heavy query activity and down to zero when idle.

In the modern data landscape, businesses rely on real-time analytics to power customer dashboards, monitor system telemetry and drive AI applications. Traditional databases struggle to handle this analytical scale, forcing companies to over-provision expensive hardware just to handle peak traffic spikes. ClickHouse Cloud eliminates this infrastructure overhead. It provides a serverless, highly reliable data architecture that delivers price-to-performance efficiency that allows data teams to focus on generating insights rather than managing database nodes.

Coveo

The Coveo AI-Search Platform is an advanced AI search, recommendation and generative experience engine that unifies fragmented digital content across an organization’s entire tech stack. Acting as a central layer of intelligence, the platform securely indexes data from disparate enterprise systems to deliver hyper-relevant, personalized search results, proactive recommendations and generative AI answers directly to employees, support agents and customers.

Coveo eliminates data blind spots in an organization by transforming search bars into intelligent, self-learning hubs without requiring a massive overhaul of existing infrastructure. Access it through AWS and deploy it out-of-the-box with no code — or design fully custom UIs with robust APIs and SDKs. Coveo also easily integrates with platforms like Salesforce, ServiceNow and SAP with no data migrations required.

By instantly connecting users with the exact information they need, businesses can drastically reduce support costs through automated case deflection, increase e-commerce conversion rates and accelerate overall employee productivity.

CrowdStrike

CrowdStrike Falcon Platform is a cloud-native, AI-driven cybersecurity platform designed to stop enterprise breaches. It uses advanced machine learning, behavioral analytics and real-time global threat intelligence to detect, prevent, and remediate cyberattacks from ransomware to sophisticated, fileless “living-off-the-land” techniques.

As cyber adversaries increasingly use automated tools and AI to launch attacks, traditional security perimeters are no longer sufficient. Businesses need security that operates in real-time, everywhere their data lives. CrowdStrike provides this by serving as the central nervous system for enterprise security. It allows IT and security teams to drastically reduce the time it takes to detect and respond to threats, which ultimately prevents costly data breaches, system downtime and — most importantly — reputational damage.

Databricks

The Databricks Data Intelligence Platform is a unified cloud-based architecture (sometimes referred to as a data lakehouse) that blends the massive storage capacity of data lakes with the structured performance of data warehouses to power enterprise analytics and artificial intelligence. Built on top of the world’s most successful open-source data projects, the Lakehouse Platform, accessible through AWS, unifies your data ecosystem with open standards and formats, preventing vendor lock-in.

In many enterprises, data engineers, business analysts and machine learning scientists use completely different, disconnected toolsets. This fragmentation creates friction and slows down time-to-insight — not to mention inflating infrastructure costs. Databricks solves this by consolidating the entire data pipeline onto a single platform. It allows businesses to eliminate complex data silos, reduce operational overhead and empower their teams to build advanced, secure AI applications using their own proprietary data.