30 startups rebuilding enterprise software with AI agents
In Q1 2026, AI firms absorbed $242 billion in enterprise capital. That’s 80% of all world VC funding for the quarter. The cash goes to startups which have recognized particular, high-value enterprise workflows and are changing them with autonomous AI agents.
The shift is structural. Previous generations of enterprise software added instruments on high of current processes. AI agents are being constructed to personal the method outright. Customer service tickets get resolved with no human touching them. Legal contracts get reviewed earlier than a lawyer opens the file.
Code will get written, examined, and deployed whereas the engineering staff focuses on structure. That final use case is both thrilling or deeply unsettling, relying on how a lot of your job entails writing boilerplate.
Here are 30 startups making that shift, organized by the enterprise software classes they’re concentrating on.
Coding and developer instruments
1. Anysphere (Cursor)
Valuation: $29.3B. ARR: $500M.
Anysphere builds Cursor, the AI-powered IDE that has grow to be the default coding setting for a big share of enterprise engineering groups. Founded in 2022 by a bunch of MIT graduates, it grew from a distinct segment developer software into one of many fastest-scaling software products in latest reminiscence.
The product competes immediately with GitHub Copilot however goes significantly additional, dealing with multi-file edits, full codebase coordination, and built-in agent loops that may carry a process by from immediate to tug request.
2. Cognition AI (Devin)
Valuation: $26B.
Cognition builds Devin, the AI software engineer able to planning, coding, testing, and deploying total purposes with out human route. The firm made headlines in 2026 when it disclosed that 89% of its personal manufacturing code is written by Devin.
That’s much less a advertising and marketing declare and extra a unprecedented proof of idea. Founded in San Francisco in 2023 by Scott Wu, Steven Hao, and Walden Yan, it counts Peter Thiel and the Collison brothers amongst its backers. The investor roster alone alerts that severe individuals consider that is actual.
3. Replit
Valuation: $9B in January 2026, up from $3B simply 4 months earlier.
Replit’s browser-based coding setting lets customers generate full-stack purposes from pure language prompts, masking frontend, backend, databases, and deployment in a single session.
Founded in 2016 by Amjad Masad, Haya Odeh, and Faris Masad, it began as a software for studying to code. It has since grow to be a severe infrastructure for app growth at scale. Tripling your valuation in a single quarter is, by most measures, a superb quarter.
4. Blitzy
Valuation: $1.4B. Series A: $200M.
Blitzy modernizes legacy enterprise codebases at scale. The platform orchestrates hundreds of AI agents working in parallel to grasp, modify, and validate code throughout programs usually constructed many years in the past.
For enterprises sitting on getting old infrastructure that no one needs to the touch, this sits someplace between a technical answer and a remedy session. Either manner, it addresses a real downside that standard refactoring has been failing to unravel for years.
5. Lovable
Valuation: $6.6B. ARR: $200M.
Lovable converts pure language descriptions into working software merchandise. It targets the hole between individuals who have product concepts and individuals who can construct them, and has discovered a considerable market on either side.
The $200M ARR determine places it among the many fastest-scaling developer instruments of the present cycle. The identify could also be optimistic, however the numbers are usually not.
Customer service and help
6. Sierra
Valuation: $15.8B. Raised: $950M. Series E.
Sierra was based in 2024 by Bret Taylor, former co-CEO of Salesforce, and Clay Bavor, former VP at Google. It hit $100M ARR in 21 months, one of many quickest ramps in enterprise software historical past.
Sierra’s agents deal with complicated buyer interactions throughout voice, chat, e mail, and WhatsApp, with pricing based mostly on outcomes somewhat than seats. Customers embody SoFi, Ramp, Brex, Cigna, and Rivian, spanning closely regulated industries the place agent errors carry actual penalties.
Outcome-based pricing is both the way forward for enterprise software or the supply of a really aggravating quarterly evaluation, presumably each.
7. Decagon
Decagon is Sierra’s closest competitor in AI-powered buyer help automation. It targets enterprise help groups with agents designed to resolve tickets end-to-end, with a concentrate on the standard requirements most enterprise patrons require earlier than eradicating people from the loop.
The firm has attracted vital funding and is increasing throughout know-how and monetary providers. In a class the place the incumbent is valued at $15.8B, being the credible various is an affordable place to be.
8. Intercom
Founded in San Francisco in 2011, Intercom constructed one of many dominant buyer messaging platforms earlier than the present AI wave. It has since built-in AI agents deeply into its product and made a extra credible transition to an AI-first mannequin than most firms in its cohort.
It’s the choice most enterprise patrons attain for when they need production-grade agents with out ripping out current infrastructure. Sometimes the benefit of being round longer is solely that everybody already has your login particulars.
Legal
9. Harvey AI
Valuation: $5B. Raised: $600M+.
Harvey builds AI agents for authorized professionals, dealing with analysis, doc evaluation, contract evaluation, and drafting throughout main legislation corporations. Founded in 2021 in San Francisco, it educated its fashions on legal-specific datasets to a depth that general-purpose LLMs don’t attain.
Backed by Sequoia and Kleiner Perkins, with a consumer roster of top-tier corporations, Harvey is the clearest class chief in authorized AI. Law is a sector that has resisted automation for a very long time. Harvey is making a persuasive case that the resistance was about functionality, not precept.
10. Legora
Valuation: $5.55B. Series D: $550M.
Legora represents one of many largest funding rounds in authorized AI to this point, reflecting how significantly enterprise legislation corporations and authorized departments are taking agent deployment in manufacturing workflows.
The firm focuses on analysis and drafting workflows that eat essentially the most billable hours. The scale of funding alerts that buyers consider authorized AI has moved previous the pilot stage. At $550M Series D, the pilots are finished.
11. Caseflood.ai
YC-backed.
Caseflood targets the operational and administrative layer of authorized work, the work that sits beneath the billable hour. Its agents deal with consumer consumption, case evaluation, and ongoing consumer engagement, changing features historically staffed by paralegals and junior associates.
For smaller and mid-size corporations that can’t workers an AI staff of their very own, this can be a significant value discount delivered with out requiring a know-how overhaul.
Healthcare
12. Hippocratic AI
Raised: $402M.
Founded in 2022 by Munjal Shah and scientific co-founders, Hippocratic builds AI agents for patient-facing healthcare workflows: appointment scheduling, post-discharge follow-ups, persistent illness administration, and drugs reminders.
The firm has prioritized security certification and HIPAA compliance from day one, which issues significantly in a sector the place a hallucinating agent may cause real hurt. Based in Palo Alto, it is among the few AI firms that seems to take the phrase ‘do no hurt’ actually.
13. Ambience Healthcare
Raised: $243M. Series C.
Ambience builds an AI working system for scientific workflows, centered totally on documentation. Clinicians spend a disproportionate share of their time on administrative writing somewhat than affected person care.
Ambience agents deal with that documentation burden in actual time throughout consultations. The firm is backed by OpenAI and has deployed throughout main well being programs. Giving medical doctors their time again is, as pitches go, a reasonably simple one to make.
14. Nabla
Valuation: $5.3B. Series E: $316M.
Based in Paris, Nabla takes an audio-first strategy to scientific AI, recording and summarizing medical conversations to generate structured documentation mechanically.
It has expanded aggressively throughout Europe and North America and is among the few European AI well being firms working at this scale. The French origins make it a notable instance of frontier AI growth that didn’t require a San Francisco zip code.
15. Stedi
Raised: $50M.
Stedi handles the executive plumbing of healthcare: the transaction processing layer connecting suppliers, payers, and clearinghouses. The firm standardizes fragmented knowledge flows and converts inconsistent inputs into usable codecs.
The result’s much less handbook reconciliation and quicker funds. Less seen than scientific AI, however the healthcare system runs on this layer. Fixing it’s about as glamorous as fixing the pipes, and about as essential.
Finance and compliance
16. Corti
Valuation: $605M. Series C: $80M, led by IVP.
Corti was initially constructed for emergency medical dispatch, listening to calls in actual time and surfacing scientific choice help. It has since expanded into healthcare claims processing, producing documentation to maximise approval probability mechanically.
Based in Copenhagen, Corti is among the stronger European entrants in healthcare AI. Starting in emergency dispatch and ending up in claims processing is an uncommon trajectory, however the underlying talent, understanding high-stakes conversations in actual time, transfers cleanly.
17. Variance
Series A raised.
Variance builds AI agents for compliance and threat workflows, ingesting regulatory paperwork, mapping necessities to inside insurance policies, and monitoring compliance gaps in actual time.
Compliance monitoring is among the cleaner agent use circumstances: the inputs are well-defined, the foundations are structured, and the price of a missed requirement is measurable. It’s the sort of process that people discover tedious and agents discover easy.
18. Resistant AI
Series B: $25M. 10x ARR development since Series A.
Based in Prague, Resistant AI builds fraud and monetary crime detection fashions for banks, fintech platforms, and AI agents working inside monetary workflows.
As AI agents acquire the flexibility to provoke funds and transactions autonomously, detecting when these agents are being manipulated turns into a significant safety downside. Resistant AI is considered one of a small variety of firms engaged on that particular problem earlier than it turns into a headline.
Enterprise data and search
19. Glean
Valuation: $7.2B. Series F: $150M.
Founded in 2019 by former Google engineers, Glean builds AI-powered enterprise search that surfaces data throughout greater than 100 related instruments. It has since prolonged into motion, with agents that execute workflows based mostly on found context.
For data staff spending hours every day finding data that already exists someplace within the firm, Glean addresses a real and quantifiable productiveness downside. Finding the doc is the job. This is the software that does it.
20. Parallel
Valuation: $2B. Raised: $230M.
Parallel builds web-search infrastructure designed particularly for AI agents, offering the real-time retrieval layer that agentic programs have to entry and act on present data.
As autonomous agents proliferate throughout enterprise workflows, a dependable and structured search layer turns into infrastructure somewhat than a characteristic. Parallel is building that layer for the agent-first period somewhat than retrofitting one thing constructed for people.
Sales and GTM
21. Mercor
Revenue: $100M, reached in below two years.
Mercor builds AI recruiting agents that supply, display screen, and interact candidates autonomously, dealing with the total hiring workflow from preliminary search by to candidate engagement.
The income trajectory places it among the many fastest-scaling AI agent firms throughout any class. Recruiting has been gradual and costly for a very long time. Mercor is among the cleaner demonstrations of what occurs while you automate a course of individuals have tolerated somewhat than loved.
22. Caretta
YC-backed.
Caretta’s AI agent joins reside gross sales calls in actual time and helps reps deal with objections as they come up. It operates within the second, surfacing aggressive intelligence, pricing data, and instructed responses whereas the dialog is occurring.
For enterprise gross sales groups dealing with complicated, multi-stakeholder offers, that’s a meaningfully completely different sort of help from what post-call evaluation instruments supply. It’s the distinction between a coach in your ear and a coach reviewing the tape the following morning.
Workforce and operations
23. Sona
Raised: $45M.
Sona targets frontline industries together with retail, hospitality, and healthcare with AI-driven scheduling, forecasting, and payroll instruments. The firm addresses the operational complexity of huge hourly workforces, the place scheduling errors translate immediately into labor value overruns and protection gaps.
It’s a superb instance of AI agents coming into workflows that enterprise software has traditionally served poorly. The operational stakes are excessive, the info is messy, and the margin for error is skinny.
24. Aisera
Founded in 2017, Aisera builds a multi-agent orchestration platform for enterprise IT, HR, and customer support, automating ticket decision, worker self-service, and back-office workflows. It has been named a Gartner Visionary within the Magic Quadrant for AI purposes in ITSM.
Production deployments at NJ Transit, OmniTRAX, and Big 5 Sporting Goods show the platform’s capability for high-volume, ruled workflows at scale. Being based in 2017 is, in agentic AI years, virtually historic. The enterprise procurement credibility that comes with it’s actual.
25. Skygen AI
Skygen builds an agent platform for course of automation that goes past trigger-based workflow instruments. Its agents execute multi-step processes, apply AI-driven logic, and proceed workflows autonomously throughout related programs.
For enterprises which have already extracted a lot of the worth from standard no-code automation instruments, Skygen represents the following tier of functionality. The step from ‘if this then that’ to ‘determine what to do after which do it’ is bigger than it sounds.
AI observability and infrastructure
26. Braintrust
Raised: $80M.
Braintrust displays deployed AI programs for reliability, drift, and high quality degradation, constructing the observability layer that manufacturing AI agents genuinely want. Traditional APM instruments don’t perceive mannequin conduct.
Enterprises deploying agents at scale have largely been working with out satisfactory visibility into what these agents are literally doing. Braintrust is filling that hole at a second when the necessity is acute and the options are skinny. The APM class was constructed for software that behaves predictably. Agents don’t at all times try this.
27. Inferact
Valuation: $800M. Seed: $150M, backed by Andreessen Horowitz and Lightspeed.
Inferact commercializes vLLM, the widely-used open-source challenge for environment friendly LLM inference, making AI agents quicker and cheaper to run in manufacturing.
As inference value turns into a significant constraint on agent deployment at scale, the businesses fixing that downside grow to be more and more central to how the ecosystem operates. Faster and cheaper inference is the sort of enchancment that advantages everybody downstream, which is an affordable place to construct a enterprise.
Vertical and specialist agents
28. Rebar
Series A: $14M.
Rebar has constructed an AI working system for business development suppliers, utilizing laptop imaginative and prescient to investigate blueprints and mechanically determine, categorize, and rely tools. It reduces quote technology time by 60 to 70%.
Rebar doubled its ARR within the first six weeks of 2026. Construction is an business that has been largely untouched by fashionable software, the place the baseline for comparability is an individual doing this by hand with a spreadsheet. The enchancment doesn’t require a lot promoting.
29. Imbue.
Raised: $230M.
Founded by Kanjun Qiu, one of many few feminine CEOs main an AI agent unicorn, Imbue builds coding agents designed round reasoning somewhat than sample matching. The wager is that immediately’s agents fail not as a result of they lack data however as a result of they can’t suppose by complicated, multi-step issues reliably. Based in San Francisco, Imbue has NVIDIA and Founders Fund amongst its backers, which is an affordable sign that the thesis has legs.
30. Denki.
YC-backed.
Denki automates inside auditing for SOX compliance and monetary regulation, dealing with management processes, proof assortment, walkthrough interviews, and testing. Every step is recorded for full traceability.
It integrates with current platforms, together with AuditBoard, Workiva, and ERPs, eradicating the procurement friction that kills most compliance-adjacent software earlier than it will get deployed. For any finance staff staring down a SOX audit, the enchantment is clear. Nobody has ever described inside auditing because the enjoyable half.
Final phrase
The frequent thread throughout each class is specificity. The firms attracting essentially the most capital and hitting the quickest income milestones picked a single, high-value workflow, understood it deeply, and constructed agents that might personal it end-to-end.
The horizontal platforms are coming. The vertical specialists are successful now.
For enterprise software distributors, the menace is structural. For the businesses on this checklist, the chance is generational. Every AI leader watching from the sidelines must be asking not whether or not agents will attain their class, however whether or not they’re prepared once they do.
The $242 billion that went into AI in Q1 2026 is a wager on a brand new manner of working enterprise operations. The 30 firms above are the place a good portion of that wager has landed.
The firms on this checklist are shifting quick. The query is whether or not monetary providers is maintaining…
On October 1 in New York, the Agentic AI in Financial Services Summit brings collectively 300+ engineers, executives, and area consultants to work by precisely that. Production-grade deployment, mannequin governance, regulatory-aligned structure, and the actual rigidity between shifting shortly and staying auditable.
If the startups on this article are in your radar, that is the room the place the individuals deploying in opposition to them in monetary providers can be.
