Business & Technology

The 5 next big things in enterprise technology for 2026

As enterprises scale their use of LLMs and autonomous agents, the big questions are shifting from adoption to control and cost. Instead of providing organizations with generic AI tools, this year’s honorees bring domain expertise and niche solutions to solve complex problems. They’re helping legacy organizations such as government agencies and hospitals modernize processes to improve compliance and quality while reducing cost.   IntegrateFor modernizing government project managementIntegrate is helping to modernize government project management, where complex programs and secure data need to work across fragmented systems, government agencies, and contractors. Its platform can run over classified networks, with permissions that can limit access down to individual data elements while keeping project timelines continuously updated instead of relying on periodically refreshed reports. These upgraded systems could be even more important as government agencies work with more AI model providers, software platforms, and outside partners. In 2025, the company signed a $25 million contract with the U.S. Space Force to help improve management and coordination of space programs over the next five years. Knox SystemsFor taking the headache out of government salesCloud companies selling to federal agencies often need to prove they can securely handle government data, which can involve a lot of red tape and technical hurdles. Instead of making companies start from scratch, Knox Systems created a way to fast-track the process by connecting its own prehardened infrastructure and security controls within existing environments. It’s also adapting for FedRAMP’s focus on continuous vulnerability monitoring, with KnoxAI already in use by more than 100 government agencies, including the U.S. Navy and U.S. Treasury. Knox, which says it helps cut FedRAMP approval time to less than 90 days and slash first-year costs by 90%, has customers such as Adobe and Celonis. It recently announced an infrastructure partnership with Microsoft Azure Government Cloud.  Midstream HealthFor helping hospitals find hidden revenue It’s no secret that hospital finance is notoriously slow and fragmented. Hospitals such as Houston Methodist and Mount Sinai are turning to Midstream Health for help. Instead of optimizing coding or billing, the company uses AI to find money hospitals are already owed but haven’t collected yet from missed rebates, pricing errors, and underpayments. One of the largest not-for-profit health systems used Midstream’s AI to analyze data from 20 disconnected systems of record, uncovering “tens of millions” in uncollected rebates. Over the next five years, Midstream plans to expand its portfolio of agents across healthcare supply chains, managed care, and pharmacies to tackle other operational and economic issues. SonarFor applying quality control to coding agentsAs AI makes code generation cheap and abundant, verification and trust become even more valuable. Sonar has built a new independent verification layer around that shift by evolving its SonarQube platform for the agent-centric development cycle to improve accuracy, security, and reliability. New tools include ways to guide coding agents with repository-specific context, hunt for hard-to-spot security flaws, automatically fix or flag existing issues within agentic workflows, and verify outputs. Rather than trusting one LLM to grade another, it verifies outputs by analyzing code deterministically as an independent analysis. Sonar works with coding platforms such as Claude Code and Cursor, and it recently acquired the AI code-review startup Gitar. Its customer base covers over 75% of the Fortune 100, including Nvidia, ServiceNow, AstraZeneca, and Ford. TailscaleFor bringing order to API key chaosExpanded use of AI agents and LLMs has made usage harder to track. To give security and finance teams more granular visibility into usage and spending, Tailscale’s Aperture platform centralizes API credentials and better connects agent and LLM traffic to users, devices, and workloads. Earlier this year, it made its first acquisition when it bought the Vancouver-based firm Border0, which helps companies manage and monitor how autonomous AI tools access servers and databases. Tailscale also recently added browser-based AI access, universal data connectors, and sandbox support to help tackle “shadow AI” by giving employees easier ways to use approved models.  The companies and individuals behind these technologies are among the honorees in Fast Company’s Next Big Things in Tech awards for 2026. Read more about the winners across all categories and the methodology behind the selection process.