Ex-Apple Engineers Close $33M Omni Ventures Manufacturing Fund
TL;DR
Omni Ventures, the San Jose firm founded by former Apple product and manufacturing engineers Simon Lancaster and Sabrina Paseman, has closed an oversubscribed $33 million Fund I to write first checks into manufacturing technology startups. Anchored by fund-of-funds Allocator One and — most tellingly — backed by Foxconn as a strategic LP, the pre-seed fund writes $700K-$1M checks into software, AI and robotics for the factory floor. It is a small fund with an outsized signal: the people who actually ran Apple's supply chain now have dedicated capital, and the world's largest contract manufacturer is underwriting their judgment.
Key Takeaways
Foxconn as an LP is the headline hiding in the press release. When the investment arm of the world's largest electronics manufacturer commits to a $33 million pre-seed fund, it is buying a window into the tools that will run its own factories. For portfolio founders, that one LP relationship is worth more than the fund's entire corpus — a pilot inside Foxconn is the hardest and most valuable logo in industrial tech.
Manufacturing is the last under-digitized trillion-dollar sector, and the capital is finally arriving. Venture investment in robotics and physical AI grew from about $4.2 billion in 2019 to $26 billion in 2025 per PitchBook data, and 2026 is pacing ahead of that. But most of it chases humanoid moonshots; Omni's thesis targets the unglamorous software layer — quoting, CAD, tribal knowledge, predictive maintenance — where factory data already exists and AI can compound immediately.
Operator authenticity is the differentiation in this category. Lancaster (15+ years across Apple, Google and BlackBerry) and Paseman (Apple industrial design from prototype through mass production) spent nearly two decades combined inside Apple's global supply chain and have built a network of 32,000+ industry engineers and executives. In a sector where founders distrust generalist VCs on sight, that credibility is the sourcing engine.
First-check discipline in tiny rounds is a real, defensible niche. Omni targets rounds of $2 million or less with $700K-$1M checks — a segment most institutional funds have abandoned as too small to move their needle. Being the default first institutional check in a vertical with almost no dedicated competitors is how durable pre-seed franchises get built.
Fund Overview
Fund Name: Omni Ventures Fund I
Fund Size: $33M, oversubscribed (an earlier target of ~$25M is implied by anchor LP materials, not officially stated)
Stage: Pre-seed / first institutional check
Check Size: $700K-$1M, targeting round sizes of ~$2M or less
Geography: US-based (San Jose), no stated geographic restriction; LP base spans 14 countries
Focus: Manufacturing technology — digital engineering, factory-floor AI, robotics, supply chain, industrial SaaS and capital-light hardware-as-a-service
Key LPs: Allocator One (anchor), Foxconn Technology Co. (strategic), plus investors across 14 countries
Why This Fund Matters
Manufacturing produces more data per square meter than almost any other industry and uses less of it. Decades of process knowledge sit trapped in machine logs, retiring operators' heads, and spreadsheets bolted to legacy on-prem systems. Omni's founding argument — what Paseman calls data density — is that AI has finally made this hoard usable, and that the wedge products will look like software, not robots: AI quoting engines for machine shops, copilots for mechanical design, spell-check for CAD, systems that capture tribal knowledge before the workforce that holds it retires.
The macro tailwinds are unusually aligned. Reshoring policy and supply-chain resilience spending have made factory modernization a board-level priority across the industrial base, while the robotics and physical AI investment wave — up roughly sixfold since 2019 — has concentrated at the expensive end of the market. That leaves a structural gap at pre-seed, where technical founders solving narrow, urgent factory problems raise sub-$2M rounds that neither the mega-funds nor the hardware specialists want to price. Omni exists precisely in that gap, and closed oversubscribed because LPs can see the whitespace too.
The strategic LP construction deserves more attention than a fund this size would normally get. Allocator One anchoring provides the institutional stamp emerging managers usually lack, but Foxconn is the differentiator: a contract manufacturer with millions of workers and thousands of production lines has effectively hired Omni as an outsourced scout for factory technology. If even a handful of portfolio companies convert Foxconn pilots into deployments, the fund's distribution story writes itself — and the acquirer pool (industrial conglomerates, PLM vendors, automation majors) is deep and hungry.
The honest counterpoint: $33 million buys roughly thirty positions at Omni's check size, and manufacturing software has historically punished investors with long sales cycles, pilot purgatory and conservative buyers. The thesis depends on AI genuinely compressing time-to-value on the factory floor. Early evidence is encouraging but not yet conclusive.
The Team
General Partner Simon Lancaster spent more than 15 years in product design and engineering across Apple, Google and BlackBerry, shipping hardware at global scale. General Partner Sabrina Paseman spent roughly five years as a product design engineer at Apple, carrying industrial designs from first prototype through mass production, and is a multi-time founder. Both left Apple about five years ago and have since operated as founders and angels in the industrial space, building the 32,000-strong network of manufacturing executives, engineers and entrepreneurs that now functions as the firm's proprietary deal-flow engine. The wider bench includes venture partner Lucas Whipple, investor Webber Wu, associate Tianqi Zhang and advisors including Alex Huckstepp and Korea-based venture advisor Michael Choi. Note the press shorthand of "Apple executives" oversells slightly — these are hands-on product and manufacturing engineers, which for this thesis is the stronger credential.
Early Portfolio
Fund I already holds ten companies, nearly all at pre-seed: Uptool (AI quoting and operating software for machine shops, led by ex-VELO3D founder Benny Buller), Drafter (mechanical design copilot), Polymath (AI-native CAD), AI-NC (automated design checking for CAD), Zenode (AI copilot for component selection), Rembrain (AI-guided production lines), Dystr (autonomous technical project management), Metis (expert knowledge capture for technicians), Tripolar (industrial facilities platform) and Mimiq (logistics IoT, at seed). Follow-on participation in portfolio rounds has already come from Khosla Ventures, Eclipse, Bessemer Venture Partners and Kleiner Perkins — early external validation that Omni's first checks are feeding the funds one stage up.
What This Means for Founders
If you are a technical founder who has spent three or more years inside industry and is building software, AI or automation for manufacturing, Omni is now arguably the most targeted first call in venture: a fund explicitly designed to lead or anchor your first $2 million, run by people who have debugged production lines at 3 a.m. The value-add claims here are checkable — access to a 32,000-person industry network, GPs who speak fluent DFM, and a strategic LP that owns more factory floors than any company on earth.
Founders outside the narrow thesis should self-select out: this is not a generalist hardware fund, and capital-intensive hardware plays are explicitly filtered toward capital-light, service-wrapped models. Also budget for the reality of the vertical — Omni's backing improves your odds with industrial buyers, but nothing shortens a factory procurement cycle to SaaS speed yet.
Fund Momentum Take
Small fund, sharp thesis, unfair sourcing advantage — this is what a well-constructed emerging-manager vehicle looks like. The Foxconn LP relationship is the kind of structural edge that outlives any single fund cycle, and the early portfolio's follow-on rate from tier-one firms suggests the first-check positioning is already working. We also like the honesty of the fund size: $33 million matches the round sizes the thesis actually requires, rather than inflating to what the market would have given.
The risks are vintage-specific. Factory-floor AI is having its hype moment, and pre-seed entry prices in physical AI adjacent categories are drifting up; Omni will need to stay disciplined precisely when its category gets fashionable. Ownership defense is the other open question — at $700K checks with no stated reserves strategy, the fund's winners will be heavily diluted by the Khoslas and Eclipses that follow. Our bet: Fund I performs on markups within two years, Fund II doubles in size, and the real test will be whether Lancaster and Paseman can hold their niche discipline once generalist money starts competing for the same machine-shop software deals they had to themselves.
Frequently Asked Questions
What is Omni Ventures?
A San Jose-based venture firm founded by former Apple product and manufacturing engineers Simon Lancaster and Sabrina Paseman, focused exclusively on manufacturing technology. It closed its oversubscribed $33 million Fund I in July 2026.
What does Omni Ventures invest in?
First institutional checks of $700K-$1M into pre-seed startups building software, AI, robotics and automation for manufacturing — digital engineering, factory-floor AI, supply chain tools, industrial SaaS and capital-light hardware-as-a-service — ideally in rounds of $2 million or less.
Who are the LPs in Omni Ventures Fund I?
Allocator One anchored the fund, Foxconn Technology Co. joined as a strategic limited partner, and the broader LP base spans 14 countries. The Foxconn relationship gives portfolio companies a potential channel into the world's largest contract manufacturer.
What has Omni Ventures already backed?
Ten companies including Uptool, Drafter, Polymath, AI-NC, Zenode, Rembrain, Dystr, Metis, Tripolar and Mimiq. Later rounds in the portfolio have drawn Khosla Ventures, Eclipse, Bessemer and Kleiner Perkins.
Why is manufacturing tech attracting VC attention now?
Venture investment in robotics and physical AI grew from roughly $4.2 billion in 2019 to $26 billion in 2025 (PitchBook data), driven by reshoring, supply-chain resilience spending and AI finally making decades of trapped factory data usable.
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