Direct investment in a single portfolio company. Concentrated exposure to one category bet, with cap-table ownership and standard preferred terms.
Suited to investors with conviction in a specific company in the portfolio.
[ AI Venture Studio ]
Nomisma is
an AI venture studio.
We originate, vet, architect, and build AI companies from the ground up alongside the founders who lead them. Every company we build is shaped by the same operating standard: validated market, sound architecture, engineered compliance, deliberate capital.
0
Companies in build
0
Approaching launch
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Countries
5+
In pipeline
[ How the Studio Works ]
Every company in the studio
clears five filters before it gets built.
A great idea and a great founder are necessary but not sufficient. The work between conviction and code is where most early-stage AI companies quietly fail. We do that work deliberately, in writing, before we commit engineering hours to a build.
01
Vision Meets Market
We start with the founder's vision and stress-test it against the real market. Comparable companies, pricing benchmarks, primary conversations with the operators and buyers the company will eventually serve. The output is not a yes-or-no decision. It is a sharpened thesis. The founder leaves this stage with a tighter version of their own conviction, validated against the world as it actually is.
02
Architecture That Survives Scale
We pre-write the system before we commit. Data model, inference economics, evaluation pipelines, integration surface, scaling path. The architecture is designed for the load the company will serve at maturity, not the load it serves at launch. This single decision, made deliberately at origination, eliminates the rebuild cycles that consume most early-stage AI capital.
03
Compliance By Architecture
Every flow in the system is mapped to its specific regulatory regime before code starts: COPPA, HIPAA, SOC 2, GDPR, CCPA, TCPA, or ISO 27001, depending on the category. Compliance is architected in. It is not bolted on at audit. Portfolio companies are deployable inside regulated environments by construction, which opens markets most AI startups cannot legally pitch into.
04
Security Engineered From Day One
The threat model is pre-written. Data residency, authentication, encryption, audit trail, incident response, all designed before the first commit. Studio companies are built to pass enterprise security review on first submission, which is the difference between a Series A on enterprise revenue and a Series A on hope.
05
Capital Designed For Efficiency
We design the path to first meaningful revenue before the build begins. Burn shape, leverage points, capital trigger thresholds, dilution discipline. Companies coming out of the studio are designed to be capital-efficient, which means investor capital purchases ownership rather than subsidizing rework.
[ The Sixth Filter ]
The five filters are the work.
None of them substitute for the founder.
The discipline above is what the studio brings to every company. It is necessary, but on its own, it builds nothing. Every great company in history has carried a founder whose intelligence and conviction made the impossible parts possible. The architecture, the compliance, the capital: none of it matters without a visionary holding the line through the inflection points where ordinary companies break.
We invest the studio's engineering, compliance, and capital discipline in founders we believe carry both intelligence and passion in equal measure. The filters can be taught. The founder cannot.
[ The Standard ]
The standard is the moat.
What separates a venture studio from a fund or an agency is not the engineers, the capital, or the cap table. It is the standard that runs through every company the studio builds, before the first commit, through launch, past every round.
A studio that lowers its standard for a single company has lowered it for all of them. That is why the standard does not flex. It is the only thing the studio cannot afford to compromise.
[ For Investors ]
Earlier entry.
Engineered downside.
Portfolio-grade discipline at the company level.
A traditional venture fund invests after a company exists. By that point the architecture is chosen, the compliance posture is set, the unit economics are baked in, and the founder is either right or wrong about the market. The fund's only remaining decision is whether to enter and at what price.
A venture studio invests before any of that has happened. The studio chooses the market, the architecture, the compliance regime, the security model. Investment happens at the only stage where decisions are still cheap and outcomes are still shapeable.
For an institutional investor, that means earlier entry valuations, fewer rebuild cycles, and exposure to a portfolio with shared engineering and governance discipline, not exposure to a single founder's pattern-matching.
[ How to Partner ]
A single company.
A portfolio slice.
Or the studio itself.
Exposure to a basket of selected studio companies through a shared vehicle. Diversified AI exposure without the obligation of picking individual winners.
Suited to investors who want AI portfolio exposure without single-name concentration.
Direct partnership with Nomisma. Carry across every company the studio originates. Pro-rata rights on every portfolio round. Quarterly reporting at the company and studio level.
Suited to LPs and strategics who want to invest in the engine, not a single bet.
[ The State of the Portfolio ]
What the studio
has built so far.
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Companies in build
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Approaching launch
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Countries
5+
In pipeline (NDA)
This is not a pitch. It is a portfolio in active construction: six companies under build by the same team, under the same standard, with the same discipline applied to every one of them. Three are approaching their production launches in the coming quarters.
[ The Pitch ]
A venture studio is only as valuable as
the discipline that runs through it.Nomisma is built around that discipline, and the portfolio is the evidence.
[ The Portfolio ]
Companies the studio
has built so far.
Aiino
An AI companion for children, with parental intelligence at the center.
Aiino is an AI companion for children that gives parents real visibility into the conversations that matter. Built with child-safety architecture, COPPA-grade compliance, and a learning model designed for developmental ages.
- Stage
- Pre-launch · Closed beta
- Open to
- Strategic and seed-stage capital. Pilot families.
- Architecture
- Multi-modal AI · COPPA-compliant pipeline · Edge-encrypted parent dashboard
Ardia Pro
Roadside assistance, re-engineered for commercial trucking.
Ardia Pro is the operating layer for roadside assistance in commercial trucking: a real-time marketplace connecting fleets, drivers, and service providers, with intelligent dispatch and a verifiable service record.
- Stage
- In build · Carrier pilots Q3
- Open to
- Strategic and seed-stage capital. Fleet partners.
- Architecture
- Real-time dispatch · Geo-routing · Verifiable service ledger
Anaura
An emotional AI companion. Present, patient, private.
Anaura is a private AI companion designed for emotional continuity: daily presence, memory the user controls, and a model tuned for the long arc rather than the single conversation.
- Stage
- Approaching production launch
- Open to
- Strategic capital. Distribution partners.
- Architecture
- Long-context memory · Local-first privacy · Continuity-tuned model
SmartSteps
AI outbound voice campaigns, built for compliance from day one.
SmartSteps (formerly KonnectPro) is an outbound voice platform for AI-driven campaigns, TCPA-compliant by construction, with a campaign engine that understands tone, timing, and the regulatory line.
- Stage
- Approaching production launch
- Open to
- Strategic capital. Enterprise pilots.
- Architecture
- Voice AI · TCPA-compliant orchestration · Real-time campaign optimization