Each practice has its own audience, vocabulary, and rhythm. Both share the same operating principles: senior judgment in the room, tight scope, and systems built for the client to own when we're done.
A senior advisory practice serving biopharma, medtech, CRO, and health-data leaders. Engagements are principal-led, narrowly scoped, and designed to fit the rhythm of evidence, access, and strategy teams.
View the Healthcare practice in full →Real-world evidence strategy, data source evaluation, harmonization, governance, and evidence pipelines — analysis-ready foundations that hold up to regulatory and access scrutiny.
Cost-effectiveness, budget impact, reimbursement logic, decision-analytic models — calibration, validation, and submission-ready documentation across indications and geographies.
Causal frameworks, confounding control, treatment effect estimation, comparative effectiveness, and decision-grade interpretation — applied at clinical and economic scale.
External control arms, target trial emulation, protocol logic, eligibility design, sensitivity analysis, and regulatory-facing documentation.
Evidence strategy for payer, regulatory, reimbursement, formulary, value demonstration, and product strategy decisions — across regulated markets.
AI-enabled evidence generation — clinical NLP, LLM-assisted analytics, multimodal health data, biomarker analytics, and translational programs.
An implementation-focused practice for growing businesses — data infrastructure, analytics, automation, and AI tooling delivered as clean systems your team can operate without us in the room.
View the SMB practice in full →Clean, structured systems that connect business data across CRM, finance, operations, and other sources — built to stay sane as the business grows.
Dashboards, KPI views, executive reports, and automated reporting — built from trustworthy data and refreshed without manual work.
CRM cleanup, classification, segmentation, account health, pipeline visibility, and risk signals — turning a noisy contact database into a real source of truth.
Reliable automations that replace repetitive manual work — using tools like n8n, APIs, and connected systems your team can operate without us in the room.
Practical AI workflows for classification, document extraction, internal knowledge access, and LLM-assisted operations. Real systems, not demos.
Cleaning, standardizing, classifying, and enriching messy records so reporting, automation, CRM intelligence, and AI systems work properly downstream.
The shape of the work differs between practices — but the operating sequence is the same across the firm. Senior judgment present from the first call, scope tight, deliverables defined, documentation real.
A direct conversation with the practice lead, followed by a structured look at the system in question — current state, evidence base, decision points, constraints, and where the leverage sits.
The problem in your own words. A specific solution, measurable outcomes, timeline, and number. No retainer creep, no vague deliverables. You see the scope before you commit to anything.
We build, test, and document. Your team owns what we build, including the parts an outside vendor would normally keep proprietary. Ongoing advisory is available where senior judgment continues to add value.
A cofounder leads every engagement directly. No delegation chains, no junior-only client teams.
Scoped engagements with measurable outputs. We'd rather narrow the problem than dilute the work.
Systems and documentation are designed to outlive the engagement. The work isn't done until your team can run it.
RWE/HEOR, causal inference, market access, health AI — direct to the practice lead.
Contact the practice lead →Infrastructure, analytics, automation, AI — clear scope, clean delivery, your team owns it.
Start a project →Not sure which practice fits? Send a general inquiry — we route it to the right lead within one business day.
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