B2B software startup launches
11 companies on the record below, and 164 with a launch page of their own. Every line links to the record it was read from.
B2B software launch pages
- Agent 37Persistent sandboxes for agents like hermes, openclaw, claude code
- Agent FMOne group chat to hear and steer your coding agents.
- Agnost AIProduct Analytics for Conversational Agents
- AkkariAutonomous Customer Operations
- Akon LabsThe Github For Coding Agents
- Alkera AIReliable and safe data engineering and data science agents
- AlmanacThe AI that knows you
- Amorphic LabsOpenRouter for Agent Capabilities
- Applied KineticsAI for the industries that power America.
- AsciiThe best cloud VMs for billions of agents
- AssembleAI Coworkers for IT teams
- AxelrodBoutique Hotels that run themselves
- BelvedirThe easiest way to make private AI models
- BentoLabs AIMonitoring and learning layer for long-running agents
- BernardAI employees that run home appliance repair companies
- Billow AI LabsAI-native Accounting Firm that's killing Deloitte
- BizmarkAgentic supply chain optimization
- BuildboxAgent analytics for real user outcomes
- ByteAskThe AI coding agent for C and C++
- Callbook AIAI collections agency for late stage portfolios
- CarSignalThe AI Operating System for Auto Shops.
- CautionHosting platform for software you don't want to have hacked
- CerenovusAI that finds value creation opportunities across enterprise…
- Chromiefind, qualify, & win contracts with AI
- ClickResearch services for ChatGPT and Claude
- COACHThe AI Coach for in person sales reps.
- CoArenaThe biggest crowdsourced benchmark for Computer-Use
- CodagTool call compression for agents.
- ConiferLeast cost routing system to reduce 80%+ token spend
- Context.devWe give AI agents realtime web context.
- DaqstraAI-native test infrastructure to accelerate hardware companies.
- DecaworkThe Agent Control Plane for IT teams
- Deep InteractionsCollaborative AI app builder for teams
- DeepMarkA live watermark inside AI voice that survives phone calls
- DeepReach Inc.Real-world data network for robots & world models
- DefiniteBuild everyday back-office agents on one live model of your books
- DeryaAgents for Industrial Supply Chains
- DialogusThe AI-native contact center.
- DockMultiplayer workspace for agents and humans
- DonkeyThe AI-native trading company: factory prices, delivered, one number
- DreamPocket-sized AI cameras that catch asset damage.
- EdotEnvA Quant Neolab building self-improving agents from quant trading
- EdviroAI That Operates Energy Infrastructure
- Ekho LabsWorld Model for Freight
- Enjamb LabsThe AI Workforce for Biopharma
- ErinysWe help lawyers start and scale AI-native law firms.
- ExecutorThe open source tool gateway
- Experiential LabsOpen source OpenRouter that turns your traffic into a better model
- FabraixThe world's frontier hacker for AI agents.
- FamiliarReal-Time AI Dubbing. Neolab for World Translation.
- Financial DatasetsConnect your agent to the stock market
- ForwardUnifying Global Private Credit
- FrontrunnerCursor for GTM
- gbrain.ioA personal or team assistant that works while you sleep
- GitCafeThe Git forge for the next hundred billion commits
- GlenInstitutional Learning Layer for Every Agent in Your Company
- Graphify LabsOn-device knowledge graph engine for enterprises
- hardware intelligenceAI tools for the chips your AI runs on
- herdrbuilding the open agent runtime
- HessianForward-deployed AI Agents
- hiloopAutoresearch as a service: we solve your hardest measurable problems
- HopliteEffortlessly deploy cloud software factories.
- HyperProbeAI engineer that fixes production issues on its own
- InkboxThe identity and communication layer for AI agents
- KebraMaking the field queryable
- Lamb LabsLightning fast chips with hardcoded AI models
- Last Accounting CompanyAgent-native accounting firm.
- LATOAgentic deal diligence for institutional investors
- LemonLimeFully automated GTM for small business
- LightfieldAI that works for in-house legal teams
- LimrunExtend cloud sandboxes with iOS, Android and more
- LinzumiTeam chat to command all your company's coding agents
- LitmusEvals for humans
- LockeAI agents that help companies and governments work together.
- Luca IQAPI-first tax engine for CPA firms and developers
- machine0AWS for Agents
- MarbleThe autonomous back-of-house for restaurants.
- MaritimeThe managed cloud for AI agents.
- MarkerPlatform and FDEs for rebuilding businesses agent-first
- MarkovExpert computer-use data for frontier AI labs
- MemoirMarketing campaigns from everything your team ships
- MemorableSelf-evolving workflows for AI agents
- MentlioEngineering Intelligence and Token Optimization for the AI-Coding Era
- MireyeInfrastructure for Physical World AI Agents
- MirrorsCatch and fix AI agent regressions before they reach production
- Miso LabsEmotive foundation voice models
- MosaicDefining the frontier of multiplayer AI.
- Nebula SecurityAutonomous AI defense system for cyber attack
- NebuSecAutonomous AI defense system for cyber attack
- NexClaude Cowork for high volume GTM workflows
- Nodus ComputeIntelligent execution layer for AI workloads
- Olam LabsBuilding multi-agent simulations for model evals and training.
- OneCLIThe open source AI teammates for your company.
- OnePatchAutomate on-call at agent-scale.
- OneTriangleThe cheapest, fastest lightweight inference.
- Ooak DataWe turn company data into training data
- OpenProseAn open-source operating system for reliable long-running agents
- OpenRelayDistributed, hardware-agnostic AI inference
- OpenTagModel Agnostic Claude Tag
- OpenVectorAI that turns any camera to an autonomous worker with real-time vision
- OrchestraSelf-optimizing neocloud that cuts LLM costs by 100x
- ORO AIContinuously improving evals for agentic commerce
- OsmauraAI-native client care for corporate law firms
- Osseus
- PaletteAn AI-Native Media Platform
- PalisadeAI that finds and fixes OS-level vulnerabilities across device fleets
- PalisadeAI sales agents that run your marketplace
- PangoAgentic OS for e-commerce operations
- PapayaContinuous optimization for AI agents
- PeerAI-native freight brokerage
- Perceptron MLWe make law firms AI-native.
- Perit.AIExpert-led data and RL platform for AI labs
- PetrarchInternal industrial company data for frontier labs
- PloyPloy turns your website into your company's growth engine.
- PlutoLinkedIn for agents
- Poth LabsConversational surveys that replace Qualtrics for large brands
- PrizedA cloud devbox that feels local
- QokedasData for AI Science
- RapidfolioAI for fintechs & banks
- RASPIREAutonomous Runtime Security
- RationalAI Employees for In-House Enterprise Accounting
- rekursiv.aiScale AI scientists whose own breakthroughs accelerate the next.
- RexAI-native BPO for enterprise order-to-cash
- RiftenEarned intelligence for every company
- RightNowEnabling Model-Hardware Co-Design at Scale
- RindlerThe IDE for Tokenmaxxers
- RiverThe AI desktop.
- screenpipeTurn your company's computer work into AI agents.
- Sentient OSOn-device AI that knows your entire life and does your work overnight.
- ShieldedThe agentic origination desk for supply chain risk.
- SigmaAI Operating System for Mergers & Acquisitions
- SimanticFirmware simulation for AI agents
- SimulithicSimulate how any product change will perform before shipping.
- SintropixAutonomous accounting platform for global companies
- Sona8Voice agents that talk to employees enabling transformations
- SpaceFlow Technologies, Inc.AI-native procurement services for the physical economy
- SpekoOpenRouter for Voice AI: one API, every call on the best speech model
- Standard MachinesTeaching AI to Design Chips
- StudioAccurately simulate market response at scale
- Tarifflo Inc.Supply chain compliance and cost savings
- tday.comAI that turns your product into on-brand marketing content
- TenorAI that own jobs end-to-end and learn from every outcome
- The Agentic Data Co.Training Data For Speech Models.
- ThomasThe first AI founder: a virtual human who runs his own companies.
- TilionSuper fast, unblockable browser infra for agents
- TolmoTolmo is the AI security platform that secures every layer of cloud…
- TouchmarkMarket for future inference capacity
- TraceforceCrowdStrike for AI Agents
- TracerCombining open-source AI models for better answers at lower cost
- transloadMeasure freight with security cameras
- TridentAutonomous offensive security agents. The best defense is offense
- TropeAI FDE that deploys custom AI agents into ERPs
- TryNearbyLocal creators for local businesses
- Understudy LabsSelf-optimizing neocloud that cuts LLM bills by 80%
- VendoLet your users build their own features on top of your product
- Verdict MachineAI cybersecurity for financial institutions' digital assets
- WalterAI Employee for Manufacturing Operations
- WatoThe control point for AI agents at work.
- WaybillManaged procurement & inventory for hardware teams.
- WhitespaceAI Operating System for Wholesale Distribution
- Workers IODeterministic Virtual Machines
- ZaplarAgentic Hotel Operating System
- ZenbuThe extensible IDE for coding agents
- ZommaComputer-use agent swarms for financial back offices
Boat
The best cloud VMs for billions of agents
- Batch: Y Combinator Fall 2026 (source)
- Industry: B2B (source)
- Team size: 3 (source)
- Based: Paris, Île-de-France, France; Remote (source)
What they shipped
- From its YC profile: **Problem** Humans used to need laptops to do their work. Now they prompt agents instead, and those agents need computers too: always-on, in large quantities, and with unlimited capabilities. Building and maintaining that yourself is far from trivial. **Solution** Boat provides powerful, simple, permissive Ubuntu VMs in the cloud. In a sandbox, an agent can work for long periods on code or on knowledge work like legal, research, reporting, and auditing. **Why Boat and not any other cloud VM?** 1. (source)
- Homepage description: "The cheapest, most powerful sandboxes for building profitable long-running agents as a service. Persistent Linux VMs with SSH, Docker inside, and IPv6 or IPv4 per machine. One command: `boat new`. $20 = 555 hours of 4 vCPU / 8 GB. Bring any agent: Claude Code, Codex, OpenCode." (source)
Pricing and product pages
- Publishes documentation at https://docs.boat.dev/api/v1. (source)
CueBench
RL post-training for science reasoning and performance engineering
- Batch: Y Combinator Summer 2026 (source)
- Industry: B2B (source)
- Team size: 3 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Dillon Mehta · Founder/CEO
- Neel Gadde · Founder/COO
- Rishan Hemrajani · Founder
What they shipped
- Its own site describes it as: "Cuebench builds RL environments for scientific discovery and inference." (source)
Who is behind it
- Dillon Mehta, Founder/CEO: Founder and CEO at CueBench (source)
- Neel Gadde, Founder/COO: Co-Founder and CRO at Snap Poker (source)
- Rishan Hemrajani, Founder: Co-Founder & CTO of CueBench. (source)
Timeline
Hickory & Company
Hickory offers agentic compliance and BSA for banks and fintechs
- Batch: Y Combinator Fall 2026 (source)
- Industry: B2B (source)
- Team size: 3 (source)
- Based: Salt Lake City, UT, USA (source)
Founders
- Joshua Howland · Founder/CEO
What they shipped
- Its own site describes it as: "Hickory helps banks and fintechs get real work done with AI. Customer data never reaches a model, and your people make every decision." (source)
- Homepage headline: "Give Your Compliance, BSA, and Ops Teams Superpowers" (source)
Who is behind it
- Joshua Howland, Founder/CEO: Founder / CEO of Hickory Previously the co-founder/CTO of Seis (YCW22) which provided online banking for Spanish speakers in the US. (source)
- Has a careers page at https://hickory.co/careers. (source)
Code
- GitHub organization hickoryco: 0 public repositories, 0 stars in total; last push null (read 2026-09-17). (source)
Timeline
- 2026: founded, per its YC profile. (source)
Homewood Rentals LLC
- Raised (Form D): $8.58M (source)
- Form D filed: 2026-09-09 (source)
- State: VIRGINIA (source)
- Industry group: Business Services (source)
Who is behind it
- Tanner Leibee: executive officer and promoter named in the Form D (Promoter only because he was a company founder). (source)
- Matthew Weaver: executive officer and promoter named in the Form D (Promoter only because he was a company founder). (source)
- Daniel Vendley: executive officer and promoter named in the Form D (Promoter only because he was a company founder). (source)
Funding on file
- The amended Form D filed on 2026-09-09 reports a $9,900,000 offering, $8,584,209 sold, $1,315,791 remaining, from 24 investors so far, some of them non-accredited. (source)
- Terms in the filing: securities offered: debt; minimum investment accepted: $1; exemption claimed: Rule 506(b); offering expected to last more than a year: yes. (source)
- Issuer: Limited Liability Company organised in Virginia, incorporated in 2022; principal office listed in Rose Hill, Virginia; revenue range: $1 - $1,000,000. (source)
Timeline
Hopper
Fast inference for voice
- Batch: Y Combinator Fall 2026 (source)
- Industry: B2B (source)
- Team size: 2 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Pavan Katta · Founder/CEO
- Jashwanth Pedapudi · Founder/CTO
What they shipped
- From its YC profile: The best voice model is small, specialized, and yours. Hopper post-trains STT, TTS, and speech LLMs on your production calls, serves them at 100ms to first token (GPT-4.1 is ~700ms), and keeps improving them against your live traffic. (source)
Who is behind it
- Pavan Katta, Founder/CEO: Previously led voice inference and post-training at Salient ($60m series a from a16z, voice). EE @ IIT Madras. (source)
- Jashwanth Pedapudi, Founder/CTO: Founder at Hopper. Previously kernels engineer at Meta Reality Labs. Electrical Engineering from IIT Madras. (source)
Timeline
- 2026: founded, per its YC profile. (source)
Lantern AI
Turn Your Taste Into Hires
- Batch: Y Combinator Fall 2026 (source)
- Industry: B2B (source)
- Team size: 4 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Thomas Chan · Founder/CEO
- Justin Tang · Founder/CTO
What they shipped
- From its YC profile: Lantern learns what exceptional looks like for your team, pressure-tests the role against the real talent market, then runs the hiring loop: sourcing, inbound applications, interviews, assessments, candidate communication, and offers. (source)
- Its own site describes it as: "Give Lantern the role. In 15 minutes, your AI Hiring Manager learns your team's taste, pressure-tests it against the talent market, and runs the hiring work end to end." (source)
Who is behind it
- Thomas Chan, Founder/CEO: Founder at Lantern AI. Serial founder with 3 prior recruiting startups, generating 2M+ in sales. Studied at Tsinghua and CUHK. (source)
- Justin Tang, Founder/CTO: Co-founder & CTO at Lantern AI. (source)
Timeline
- 2025: founded, per its YC profile. (source)
Lyon
Foundation models on enterprise transaction data.
- Batch: Y Combinator Summer 2026 (source)
- Industry: B2B (source)
- Team size: 2 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Gabriel Noya · Founder/CEO
What they shipped
- From its YC profile: Lyon builds private foundation models for banks, insurance companies, and fintechs. Each model learns from the company’s proprietary transactions, payments, clicks, and customer interactions to predict credit, fraud, collections, income, churn, and lifetime value; and runs inside the company’s cloud, so its data and intelligence remain under its control. (source)
- Its own site describes it as: "Lyon trains a foundation model from scratch on your customer event data. The model runs in your cloud, and you own the intelligence." (source)
- Homepage headline: "Foundation models on event data" (source)
Who is behind it
- Gabriel Noya, Founder/CEO: Stanford EE and CS 26' (source)
Timeline
- 2026: founded, per its YC profile. (source)
Magma
Monetize your agent's traces.
- Batch: Y Combinator Summer 2026 (source)
- Industry: B2B (source)
- Team size: 1 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Ramtin Shahzanian · Founder/CEO
What they shipped
- From its YC profile: We enable companies monetize their agents' traces. (source)
- Its own site describes it as: "Magma enables any company building AI agents to monetize its data in a few clicks." (source)
- From the Launch YC post "Magma - AI labs will pay you to learn from your agent's mistakes": Magma enables companies building AI agents to monetize their data in a few clicks. (source)
- Homepage headline: "Monetize your agent’s logs ." (source)
Who is behind it
- Ramtin Shahzanian, Founder/CEO: failing my way through. (source)
Timeline
Parasma
Training human brain cells for AI compute
- Batch: Y Combinator Summer 2026 (source)
- Industry: B2B (source)
- Team size: 1 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Sean Cole · Founder/CEO
What they shipped
- From its YC profile: We write the algorithms to turn brain cells into compute. (source)
- Its own site describes it as: "Parasma is training human brain cells for compute." (source)
- Homepage headline: "We train brain cells for compute." (source)
Who is behind it
- Sean Cole, Founder/CEO: Founder at Parasma (YC S26) Skipped BS, MS in Artificial Intelligence w/ Distinction (source)
- 1 open role listed on its YC jobs page when the profile was read (2026-09-05). (source)
Timeline
- 2026: founded, per its YC profile. (source)
- 2026-08-14: "Human brain cells do next-token prediction" posted to Hacker News by alach11, 1 point and 0 comments. (source)
- 2026-08-13: Launch YC post "Parasma: Training human brain cells for compute", tagline "In March, we trained them to play Doom; now we got them to do next-token prediction.", 10 upvotes when read. (source)
Savant
Company brain every AI-native enterprise runs on
- Batch: Y Combinator Spring 2026 (source)
- Industry: B2B (source)
- Team size: 2 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Anthony Kim · Founder/CEO
What they shipped
- From its YC profile: Savant is the company brain every AI-native enterprise runs on. We plug into the tools you already use, capture the written knowledge / undocumented procedures, and serve them to your employees and agents at decision time. (source)
- Its own site describes it as: "Savant turns scattered company knowledge into structured, searchable operating context for teams and AI agents." (source)
- Homepage headline: "The Operational Memory Layer" (source)
Who is behind it
- Anthony Kim, Founder/CEO: Co-Founder & CEO, Savant | Prev. Electrical Engineering and Computer Science @ Yale (source)
Timeline
Vorelios
AI that simulates physics 1000x faster
- Batch: Y Combinator Fall 2026 (source)
- Industry: B2B (source)
- Team size: 2 (source)
- Based: San Francisco, CA, USA (source)
Founders
- Daniel McNeil · Founder/CEO
- Krish Kapadia · Founder/CTO
What they shipped
- From its YC profile: Engineering is bottlenecked by slow, costly simulations. We're fixing that by building foundation models that learn physics end-to-end and deliver the same results in seconds, at a fraction of the cost. (source)
- Its own site describes it as: "Vorelios is building a foundation model for engineering physics." (source)
Who is behind it
- Daniel McNeil, Founder/CEO: Co-founder & CEO @ Vorelios, 18 (source)
- Krish Kapadia, Founder/CTO: Co-Founder & CTO @ Vorelios, 19 (source)
Timeline
- 2026: founded, per its YC profile. (source)