The Venture Codex Logo

The Venture Codex

Honeystone Ventures

3333 Kenneth Dr, Palo Alto, CA, 94303, United States

Overview

Honeystone ventures is an early-stage software fund that focuses on pre-seed and seed funds. The company is based in Palo Alto, California.

Total investments
16
Lead investments
1
Investments · 12mo
6
Active investors
4

Sector focus

  • Finance
  • Professional Services
  • Venture Capital
Visit website

Investment portfolio

  • Turnout

    Participated · Series A · Jun 2026

    Turnout operates a hybrid advocacy platform centered on an AI orchestrator called Jake together with licensed human advocates to assist clients through government, insurance, healthcare, and education bureaucracies. The company reports growing its client base fivefold since its September 2025 seed round and has logged over ten million minutes of AI and human-led advocacy. Turnout has been active in assisting people with Social Security disability and Veterans benefits and plans to expand into healthcare and education verticals. The $35 million Series A, at a $400 million valuation, is intended to accelerate development of Jake and scale the nationwide human advocate workforce. Turnout framed its service as providing one-on-one, human-led advocacy accelerated by AI and aims to make advocacy broadly accessible. The company announced the Series A and accompanying plans in a June 11, 2026 press release from San Diego.

  • Idilio

    Participated · Seed · Jun 2026

    Idilio produces vertical micronovelas with episodes of one to three minutes and seasons that can reach up to 80 chapters, aiming for strong hooks in the first three seconds. The company describes itself as data-first: it writes and produces initial chapters, publishes them in-app and on social, and uses rapid metrics to decide whether to rewrite or scale a story. Idilio reports roughly two million downloads in 120 countries and about 45 minutes of daily use per user, which the company says is double Netflix's mobile time by its metrics. Founder Gabriela Tafur, a Colombian lawyer, TV presenter and Stanford MBA, built the product after observing short-form dubbed dramas in mobile use. The company targets Latin American melodrama as a cultural differentiator versus Chinese-origin micro-series and aims to scale its audience internationally. The model emphasizes low-cost, fast production cycles but faces sector risks such as low retention and variable content quality.

  • TESS AI

    Participated · Seed · Mar 2026

    Tess AI offers an enterprise agent-orchestration platform whose multi-model engine stitches together over 250 AI models—including Claude, GPT, Gemini, and Qwen—so employees can build autonomous agents for tasks like bank reconciliation, inventory checks, prospecting, data analysis, and internal reporting. Instead of traditional per-seat SaaS licenses, the company charges for completed work, positioning itself as a “seatless” solution that removes budget friction and encourages bottom-up adoption. In the past 12 months, more than 16,000 employees have onboarded to the platform, and the system executed more than 600,000 autonomous agent tasks in the last month alone, with individual agents handling up to 40 simultaneous operations per call. Founded by Brazilian entrepreneurs and led by CEO Rica Barros, Tess AI argues it delivers more than 3× ROI in the first year of deployment. The firm competes with offerings from Microsoft, IBM, UiPath, Automation Anywhere, CrewAI, and Relevance AI, but differentiates through its broad model coverage and usage-based economics. The recent seed financing pegs the company’s valuation at roughly R$200 million (about US$35 million), giving it fresh capital to scale its orchestration engine and expand go-to-market efforts. Management plans to deploy the new funds to deepen model integrations and accelerate enterprise adoption of its “Vibe Working” performance framework.

  • Take2 AI

    Participated · Series A · Feb 2026

    Take2 is an AI agents platform focused on streamlining healthcare recruiting. Its flagship product, the AI Interviewer, autonomously conducts phone interviews around the clock, evaluates candidates, records calls, and syncs results directly into applicant tracking systems without human intervention. Trained on healthcare-specific hiring data, the system delivers predictive insights that improve quality of hire and employee retention while addressing high vacancy costs and turnover in the sector. The company already serves several of the largest U.S. health systems and reports growing adoption as organizations seek faster, more scalable staffing solutions. With new capital, Take2 intends to launch additional agents that handle sourcing, screening, credential verification, scheduling, and onboarding, moving toward fully automating the end-to-end hiring funnel. Management believes the platform can save healthcare providers millions of dollars each year by reducing manual workload and improving retention. The firm has just secured a $14 million Series A to accelerate these plans.

  • Multifactor

    Participated · Seed · Dec 2025

    Multifactor’s core product converts any online account—banking, email, calendars, social media or enterprise apps—into a secure, shareable link that can be restricted to read-only, feature-limited, or dollar-capped access. The system never reveals passwords and records every action with cryptographic signatures, delivering mathematically provable security that stands up to post-quantum threats. Designed for the fast-growing use of autonomous AI agents, the platform blocks prompt-injection, password-theft and confused-deputy attacks by granting only capability-based permissions. Founded by Ph.D. computer scientist and former CIA officer Vivek Nair and Ph.D. mathematician-cryptographer Colin Roberts, the company leverages a decade of cybersecurity research and national-security experience. Launched publicly just three weeks before the raise, the service is free to use and already seeing “strong early demand,” positioning the firm to address what investors call a multi-billion-dollar trust problem in AI adoption. Multifactor aims to replace traditional password managers and fragmented identity tools with a zero-trust, provably secure alternative. The recent seed financing provides the capital to scale product adoption and expand enterprise integrations.

Team