Celero Ventures
VC Fund
Celero Ventures is a VC fund focused on Software and Artificial Intelligence. Celero Ventures was created on the premise that we can help disruptive founders build amazing companies 10x faster. We were careful investors of our time as operators, picking back to back winners very early in their journeys and then building these companies to fantastic outcomes for their shareholders. We bring the same cautious, data drivenand analytical approach to our investing and offer our portfolio companies our active support and wide network as they scale.
- Total investments:
- 14
- Last investment:
- Lead investor:
- 21%
Last updated:
For AI agents: llms.txt
Industries Celero Ventures invests in
Stages Celero Ventures invests in
Countries Celero Ventures invests in
Round sizes
Round size
- Seed
- $550k–$12M
- Pre-Seed
- $2M–$3.4M
Investment Focus
Industry
- Software 7 (50%)
- Artificial Intelligence 5 (36%)
- Information Technology 4 (29%)
- B2B 1 (7%)
- SaaS 1 (7%)
Stage
- Seed 8 (57%)
- Pre-Seed 4 (29%)
- Series A 1 (7%)
- Convertible Note 1 (7%)
Country
- United Kingdom 7 (50%)
- United States 2 (14%)
- Finland 1 (7%)
- Germany 1 (7%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| geoSurge provides an AI platform that helps organizations understand and improve how they are represented in large language models and AI-powered search systems. The company measures how AI models recall, describe, and prioritize brands across different prompts, model versions, and engines, enabling users to monitor changes in AI visibility overtime. Its platform includes tools for tracking brand mentions, competitor comparisons, visibility trends, and AI-generated sources, while also supporting corpus engineering to strengthen how structured information is understood by AI models. geoSurge applies data science, engineering, and research to analyze model behavior, identify gaps in brand representation, and help organizations improve the accuracy and consistency of AI-generated responses. | $12M / Seed / Jul 03, 2026 | ||
| Turning audible sound into health insights using AI | $2M / Pre-Seed / Apr 30, 2026 | ||
| Tower is a platform that helps builders of vertical AI services and SaaS turn AI-generated or human-built code into reliable, production-ready data systems. It provides a secure, Python-native environment to orchestrate data pipelines and data agents, manage Iceberg lakehouse storage, and run workloads serverlessly or on your own compute. Teamsbuilding on Tower ship AI-powered products on average 6 months faster. | $6.4M / Seed / Mar 13, 2026 | ||
| Revenue Labs is the GTM Learning System — four agents that get smarter with every outcome from each prospect, deal, and customer.The limiting factor in GTM is no longer effort or tooling. It is the organisation's ability to learn from outcomes. Revenue Labs exists to remove that constraint.Four agents — Prospecting, Deal, Retention, andExpansion — unify GTM into a single system where learning compounds from every outcome. At the surface, four agents that learn. Underneath, a GTM Brain built on six primitives: Context Graph, Governed Memory, Skill Evolution, Decision Traces, Learning Inbox, and Cross-Agent Learning.Three design choices define the system:1. Unified, not fragmented — one system across the full customer lifecycle, not 5-7 tools stitched together. 2. Learning, not static — execution improves based on outcomes, not configuration. 3. Governed, not autopilot — every system change is proposed with evidence and approved by humans before going live.Revenue Labs consolidates key GTM tools — replacing point solutions for deal intelligence, intent data, sales engagement, customer success, and RevOps — into one learning system. The commercial conversation is consolidation and compounding intelligence, not adding another tool to the stack.The Four Agents:Prospecting Agent — Generate pipeline through ICP scoring, signal detection, personalised outreach, and timing optimisation.Deal Agent — Win opportunities through qualification, discovery, competitive intelligence, and forecasting.Retention Agent — Prevent churn through health scoring, risk prediction, intervention planning, and NRR optimisation.Expansion Agent — Grow accounts through readiness scoring, white space analysis, opportunity identification, and deal sizing.Customer outcomes include 7x pipeline velocity, 3-5x conversion rates, 90-day earlier churn signals, 60% fewer manual tasks, and 45% more account capacity.Revenue Labs serves B2B SaaS companies with 200-1,200 employees, $50-500M ARR, Series C and beyond — organisations with enough GTM complexity that learning becomes the bottleneck to growth. | Seed / Feb 23, 2026 | ||
| Duku AI is building autonomous testing infrastructure for the AI era. As AI accelerates code development, QA has become the critical bottleneck to shipping fast. Duku AI eliminates it with intelligent agents that simulate real user behaviour across auth, checkout, and conversion flows, replacing manual test scripting with autonomous productsimulation testing. | Pre-Seed / Dec 08, 2025 | ||
| BTON Financial (BTON.ai) is an AI-driven trading technology company building a neutral intelligence layer for institutional equity trading. The platform embeds machine learning-based decision support directly into existing execution and order management systems (EMS/OMS), enabling asset managers and trading desks to optimise broker andalgorithm selection within their native workflows without replacing incumbent infrastructure.By analysing large-scale transaction cost and execution data across market participants, BTON dynamically matches each order to the most suitable broker and execution strategy in real time. This transforms traditional broker allocation and “algo wheel” processes into a continuous, data-driven optimisation layer that improves execution quality, reduces trading costs, and enhances best-execution governance.Positioned as cross-platform coordination infrastructure for electronic trading, BTON integrates across fragmented trading technology stacks to bring explainable AI and collaborative intelligence into the trader workflow. Founded in 2017 and headquartered in London, the company serves institutional investors, asset managers, and brokers globally. | Seed / Aug 26, 2025 | ||
| Build powerful, safe, interconnected AI agents without the technical overhead. | $3.4M / Pre-Seed / Aug 14, 2025 | ||
| Catio is a cloud infrastructure platform enabling companies to excel with cloud-native tech stacks, focused on tech stack evaluation, planning, and evolution. | $3M / Seed / Mar 05, 2025 | ||
| Enable SaaS business to sell & cosell on multi cloud marketplaces (AWS, Azure, GCP, Red Hat, Snowflake & Databricks) | $15M / Series A / Feb 12, 2025 | ||
| Tower is a platform that helps builders of vertical AI services and SaaS turn AI-generated or human-built code into reliable, production-ready data systems. It provides a secure, Python-native environment to orchestrate data pipelines and data agents, manage Iceberg lakehouse storage, and run workloads serverlessly or on your own compute. Teamsbuilding on Tower ship AI-powered products on average 6 months faster. | Pre-Seed / Dec 31, 2024 | ||
| See all 14 investments → | |||
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FAQ
What does Celero Ventures invest in?
Celero Ventures invests primarily in Software, Artificial Intelligence and Information Technology startups, most often at Seed and Pre-Seed stage. Most of the 14 investments tracked by Shizune back companies in United Kingdom. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Celero Ventures's check size?
Celero Ventures typically joins rounds of $550k–$12M at Seed and $2M–$3.4M at Pre-Seed. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Celero Ventures participates in.
When did Celero Ventures last invest?
The most recent investment recorded for Celero Ventures closed in Jul 2026. Shizune tracks 14 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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