We build companies that have earned formation through validation.
When Zero Vector starts, all that exists is potential. We identify high-potential people, identify problems internally, and match founders who demonstrate their capability to validated problems.
People. Problems. Evidence. Formation.
Companies shouldn't launch simply because someone has a cool idea or an impressive background. They should have to earn the right to launch through real evidence of founder capability and market need.
Identify and develop high-potential startup talent through real work.
Identify real problems that are extremely painful and impact a large number of people.
Validate founder capability through real work and problems through rigorous research.
Form companies only when the people, problem, and market have earned it through evidence.
Five stages to ensure company formation is driven by evidence and founder capability.
Problems and people are validated on parallel tracks. They converge only when a capable founder can be matched to a real problem.
Identify real, large, and significant problems that are worth deeper validation.
Identify people with the potential to build startup operator capabilities.
Kill problems that aren't real, extremely painful, large enough, or where a solution could realistically reach product-market fit in 18–24 months.
Validate the capability of potential founders based on how they perform with real startup work.
Founders are matched to problems based on their demonstrated capability and domain expertise. Problem validation continues in parallel.
Multiple solutions are identified. Solutions that lack a real wedge, lack defensibility, aren't technically feasible, don't deliver value to customers quickly, or aren't viable are killed.
Founders present their final case for company formation.
Identify real, large, and significant problems that are worth deeper validation.
Kill problems that aren't real, extremely painful, large enough, or where a solution could realistically reach product-market fit in 18–24 months.
Identify people with the potential to build startup operator capabilities.
Validate the capability of potential founders based on how they perform with real startup work.
Founders are matched to problems based on their demonstrated capability and domain expertise. Problem validation continues in parallel.
Multiple solutions are identified. Solutions that lack a real wedge, lack defensibility, aren't technically feasible, don't deliver value to customers quickly, or aren't viable are killed.
Founders present their final case for company formation.
Some of the core capabilities we focus on.
Capabilities are observed in real work. Confidence is gained by watching people demonstrate them across multiple cycles.
Converts feedback, evidence, and failure into upgraded judgment and changed behavior. Measured by the delta between prior action and next action — not by self-reported reflection.
Makes proportionate, evidence-aware decisions when information is incomplete. Separates fact from assumption, weighs evidence by quality, and acts without pretending to know more than they know.
Returns to clear thinking and useful action after setbacks, critique, or failed tests. Assessed by recovery behavior under real friction — not by motivational language or claims of grit.
Defines a specific, evidence-seeking problem before committing to a solution. Names who has the pain, what breaks, what it costs, and why now — and refines the frame as evidence accumulates.
Gathers truthful, behavioral evidence from users, buyers, approvers, and blockers without contaminating the signal. Probes for current workflows and costly action, not validation or compliments.
Designs a sequenced set of tests that attack the riskiest assumptions first, with evidence standards and decision thresholds defined before results arrive.
Identifies the few assumptions that must be true, ranks them by existential consequence, and pre-commits to the evidence that would force a continue, pivot, or kill decision.
Interprets accumulated evidence against pre-defined criteria to continue, change direction, or stop. Resists sunk cost, vanity traction, and goalpost-moving.
Distinguishes decision-useful evidence from anecdote, compliment, and vanity metric. Weighs evidence by source quality, behavior over opinion, and relevance to the decision at hand.
Uses pricing, budget discovery, and buying conversations as a learning system. Tests willingness to pay through real commitment and separates user desire from buyer urgency.
Control Layers for Complex Systems.
This is where we are currently focusing our problem discovery and validation work.
Control Layers for Complex Systems are software-led, infrastructure-light companies that help customers govern, secure, orchestrate, automate, verify, and make decisions across high-friction systems shaped by AI, regulation, cyber risk, infrastructure constraints, labor scarcity, climate volatility, and geopolitical fragmentation.
Define policies, permissions, thresholds, roles, and acceptable actions.
Protect systems, agents, workflows, data, and infrastructure from misuse or attack.
Coordinate work across systems, humans, AI agents, data sources, and physical assets.
Execute repeatable work under defined controls and human oversight.
Prove origin, status, compliance, action history, permissions, provenance, or outcome.
Help users make higher-quality decisions under uncertainty, scarcity, risk, or regulation.
Produce records that can survive audit, procurement review, litigation, compliance review, or board scrutiny.
What We’re Working On.
Zero Vector’s studio work spans two connected tracks: Platform Products that strengthen the infrastructure for venture formation and capital deployment, and evidence-driven venture work that progresses from Problems Under Validation to Formation Opportunities and, when the evidence supports it, Portfolio Companies.
AlphaOps
A centralized operating platform that helps emerging venture fund managers manage deal flow, team workflows, LP communications, reporting, and compliance from a single source of truth.
Reduce operational fragmentation and manual work so lean venture firms can operate with greater efficiency, visibility, professionalism, and audit readiness.
Solo GPs, small fund teams, and institutionalizing venture firms managing fewer than four funds and under $100 million in assets.
Generally Available
alphaops.vc
I Love Product People
Connects early-stage founders with experienced product professionals through structured, equity-aligned advisory relationships and pathways to deeper founding-team involvement.
Help founders make stronger validation and product decisions while giving experienced product professionals meaningful opportunities to contribute, earn ownership, and explore potential co-founder alignment.
Early-stage founders seeking experienced product guidance and mid-to-senior product professionals seeking structured advisory, equity, and potential co-founding opportunities.
Expanding Access
iloveproductpeople.com
The Product People Platform
Provides early-stage founders with trusted, startup-native product judgment and decision support across discovery, validation, product framing, UX, and prioritization without requiring a premature senior hire.
Help founders make stronger product decisions, improve the quality of startup learning, and reduce wasted time, capital, and runway on the path to product-market fit.
Early-stage founders in product-sensitive startups who remain central to product decisions and need an integrated judgment partner, especially domain experts, technical builders, product-trained founders adapting to startup conditions, and founders dissatisfied with fragmented product support.
Generally Available
productpeopleplatform.com
Nomira
Fragmented Forced-Labor Compliance Workflows for Importers
Importers with exposed, multi-tier supply chains must repeatedly identify forced-labor risk and assemble defensible evidence, but fragmented workflows across teams, vendors, and records increase the likelihood of delayed responses, shipment disruption, avoidable costs, and incomplete regulatory evidence.
Trade compliance, legal, supply-chain, and sourcing teams at importers with recurring exposure to higher-risk goods and opaque multi-tier supplier networks.
- Problem recurrence
- SUPPORTED
- Material consequence
- SUPPORTED
- Current workaround
- MIXED
- Decision ownership
- MIXED
Will exposed importers fund a repeatable evidence-readiness workflow before detention, and can it fit alongside counsel, brokers, and existing compliance platforms?
Problems Under Validation
Problems Under Validation have a level of uncertainty and evidence maturity broadly comparable to pre-seed ventures. Zero Vector is still validating whether the problem is sufficiently important, persistent, and addressable to justify developing a solution and potentially forming a company. These are solution-neutral problem theses—not yet products or companies.
Formation Opportunities
Formation Opportunities have a level of validation and traction broadly comparable to seed-stage ventures. The problem has passed the required validation gates, a specific solution is live, and real customers and users are testing it under paid market conditions. The initiative remains within Zero Vector while retention, repeatability, economics, and scalability are being proven.
Portfolio Companies
Portfolio Companies are separate legal companies that earned formation after meeting Zero Vector’s evidence requirements. At formation, they generally have a level of validation and traction comparable to a late-seed venture. Some may approach early Series A readiness once they demonstrate repeatable customer acquisition, retention, scalable economics, and the organizational capacity to grow.
Platform Products
Platform Products are infrastructure built and operated by Zero Vector to support founder development, product talent, validation, strategic support, venture operations, capital deployment, and platform distribution. They are not initiatives moving toward company formation and therefore do not have an equivalent fundraising stage.