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Our focus.

Anova Technology is a boutique engineering-leadership firm for founder-led healthcare and regulated software teams — providing executive engineering capacity without the cost of a full-time CTO.

We sell leverage, not labor: the architecture judgment, AI governance, and delivery systems that retire technical risk and make a team durably more capable.

See how we work

Core values

Leverage over labor

The highest-value work is better judgment, not more hours — reducing risk and compounding technical advantage.

Systems, not dependency

Every engagement leaves the team more capable: standards, architecture, and operating rhythms that outlast us.

Responsible AI

AI used as measurable leverage with human review and governance — essential in regulated, PHI-bearing systems.

Reputation over revenue

We take work that makes the next engagement easier to earn, and decline work that does not fit.

  • 1 - Fit review

    A 30-minute risk read before any engagement — the business context, technical situation, and what makes this the right moment for engineering leadership.

    Business and Stakes:

    What is the company trying to do, and what gets harder or riskier if the technical decisions ahead are made without senior engineering ownership?

    Technical Situation:

    Where are architecture, delivery, interoperability, and AI today? This is where we find where executive engineering judgment has the most leverage.

    Regulatory Context:

    Does the work touch PHI, regulated data, or compliance obligations? We treat these as design inputs from the first conversation.

    Decision Rights:

    Who owns the technical decisions today, and what authority would the engagement carry? Leadership only works with clear decision rights.

    Fit and Conflicts:

    We confirm there is genuine fit and no conflict, and that Anova has the capacity to do the work well, before recommending a next step.

  • 2 - Architecture & sequencing sprint

    A two-week fixed-fee engagement that produces a prioritized technical sequence — what to change, in what order, and why — before any retainer begins.

    Architecture Assessment:

    We assess the current architecture, its risks, and the constraints — scale, reliability, compliance — that should shape what happens next.

    AI & Governance Review:

    Where AI is in play, we review data boundaries, provenance, and human-in-the-loop needs so adoption can proceed responsibly.

    Interoperability Map:

    For healthcare teams, we map the integration surface — EMR, CRM, scheduling, intake, RCM, and the standards that connect them.

    Prioritized Sequence:

    You get a sequenced roadmap that orders the work by leverage and risk, so the highest-impact decisions are made first.

    Engagement Recommendation:

    The sprint ends with a clear recommendation for the right ongoing engagement, or confirmation that none is needed yet.

  • 3 - Engineering leadership

    As fractional Head of Engineering, Anova owns the technical decisions and the systems that make the team effective — architecture, governance, hiring, and delivery cadence.

    Architecture Ownership:

    We own the architecture and the sequencing of change, modernizing systems incrementally without stalling the roadmap.

    AI Governance:

    AI moves into real workflows with PHI boundaries, provenance, and human-in-the-loop review kept intact.

    Team Leverage:

    Hiring, mentoring, and clear standards raise the level of the whole team — leverage that compounds well beyond any single sprint.

    Delivery Systems:

    We install the review discipline, execution cadence, and decision-making that let the team ship reliably without constant escalation.

    Build-vs-Buy Judgment:

    Vendor, platform, and build-vs-buy calls are made with senior engineering judgment and an eye on long-term cost.

  • 4 - Governance & leverage

    We keep the architecture, governance, and team healthy over time, and provide independent due diligence when major decisions are on the table.

    Architecture Health:

    We keep reliability, scale, and data architecture ahead of where the business is heading, not behind it.

    Ongoing AI Governance:

    AI governance is maintained as workflows and regulations evolve, keeping provenance and human oversight intact.

    Engineering Maturity:

    We continue to raise hiring, delivery, and decision-making maturity so the team needs less escalation over time.

    Technical Due Diligence:

    When investment, acquisition, or build-vs-buy decisions arise, we provide an independent, prioritized technical read.

    Knowledge Transfer:

    The goal is durable leverage: leadership and systems that hold up whether the engagement continues or transitions to an in-house hire.

Why Anova

Trusted judgment, not testimonials.

Anova is led by Allen Lee — ~15 years in regulated healthcare and life-sciences software, including Director of Engineering at Adaptive Innovations (healthcare operations), eight years at Medidata Solutions on clinical-trial systems, and regulated medical-device software at LinusBio — with cross-industry range at Google and EA. The proof is the record and the references, not manufactured quotes.

Client references available during a fit review.

FAQS

Questions buyers usually ask before starting.

It is executive engineering leadership on a fractional basis — the judgment, architecture, AI governance, hiring, and delivery systems a team would get from a Head of Engineering or CTO, without the cost or commitment of a full-time hire. Anova owns the important technical decisions and the systems that make a team effective, not a fixed list of tasks.

Anova is an engineering-leadership firm, so the work is judgment, architecture, governance, and delivery systems first. We go hands-on where it has the most leverage — proving out an architecture, setting patterns, or unblocking a critical path — but the engagement is not sold as build hours or headcount.

By the decisions and systems that multiply a team rather than the hours logged. The right architecture choice, a governed AI rollout, a hire that raises the bar, or a delivery system that removes recurring friction is worth far more than any single feature. Leverage over effort is the operating principle.

Yes — regulated and healthcare teams are the core focus. Anova treats PHI boundaries, provenance, auditability, and human-in-the-loop review as design inputs, especially when adopting AI inside regulated workflows. Please do not send PHI or patient details through the contact form; we will set up an appropriate channel during the engagement.

The Architecture & Sequencing Sprint is a fixed fee for two weeks. The Fractional Head of Engineering retainer is monthly, with reserved hours and a three-month minimum. Technical Due Diligence is scoped per engagement, and Regulated AI Engineering & Governance is delivered inside a retainer rather than priced separately. Figures are shared in a fit review, once the scope is clear enough for the number to mean something.

Most engagements start with the sprint. It is a standalone engagement rather than a deposit, so the fee is not credited against a later retainer — you leave with a roadmap you own whether or not we continue.

Anova works with a small number of teams at a time so each gets real executive attention. We are deliberate about conflicts and will flag any concern before an engagement begins. The fit review is where we confirm there is no conflict and that the capacity is there to do the work well.

Founder-led healthcare and regulated software teams entering the phase where architecture, compliance, interoperability, and AI governance start to matter more than raw build speed — teams that need executive engineering judgment but are not ready for, or do not need, a full-time CTO.

You share the business context, the technical situation, and what is at stake. In 30 minutes, Anova gives you a clear read on the top architecture and compliance risks, confirms fit and conflicts, then recommends the right next step.

When there is fit, that next step is usually a 2-week fixed-fee sprint: Architecture & Sequencing Sprint. When there is not, you still leave with an honest recommendation.

Faqs
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