Services

Four service categories. One standard: work that holds up.

Most engagements fit into one of four categories. The disciplines and capabilities within each draw on our specialist network, assembled per engagement around the people who have shipped that exact kind of work before.

01

Strategy & advisory

The thinking work that precedes building. Where most consultancies sell either pure strategy decks or pure delivery, we work with leadership teams to make technology decisions that hold up over years — and stay around to help execute them.

Engagement structure

Scoped strategy sprints for discrete questions, or a monthly retainer for ongoing advisory through execution.

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What this includes
  • Data strategy and roadmap development
  • AI/ML use case prioritization and validation
  • Architecture decisions (cloud platform, data warehouse, BI tools, AI stack)
  • M&E framework design and indicator architecture
  • Hiring support — role definition, interview design, candidate evaluation
  • Funder conversations — translating technical work into impact narrative
  • Internal capacity building and team mentorship
  • Fractional technical leadership
02

Engineering & implementation

The building work. You have data in many systems, dashboards your team doesn't trust, and reports that take days to produce. We architect, build, and ship the data and software infrastructure that turns all of it into something your team and your funders can rely on.

Engagement structure

Fixed-price projects with milestone billing — a paid scoping phase followed by the main build, so the architecture is agreed before commitments are made.

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What this includes
  • Software development — full-stack engineering, custom applications, API design
  • Data engineering — pipeline architecture, warehouse and lakehouse design (Azure, AWS, GCP)
  • Business intelligence and data modeling — Power BI, Tableau, custom dashboards
  • Data source audit and inventory
  • Pipeline design and build — CRM exports, API integrations, scheduled refreshes
  • Data cleaning, standardization, and quality scoring
  • Custom indicator definitions and metric mapping
  • Cybersecurity — HIPAA/SOC 2 readiness, access governance, data security frameworks
  • System deployment, integration, and knowledge transfer
03

AI/ML development

The intelligent systems work. Custom AI/ML where it actually makes sense — and an honest "this doesn't" when it doesn't. Most AI/ML projects in this sector fail because the use case isn't right. We validate first, build second.

Engagement structure

A paid scoping phase validates the use case before any build commitment, followed by a scoped build if the case holds up. For ongoing capacity, a fractional AI/ML lead retainer keeps a senior practitioner on your team.

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What this includes
  • Custom ML model development for impact-relevant problems
  • Retrieval-augmented generation (RAG) systems grounded in your organization's data
  • Predictive analytics for program outcomes, donor behavior, and operational risk
  • AI/ML use case validation — before you spend the build budget
  • AI strategy and architecture review
04

Proposal & grant strategy

The funding work. Most technical funding goes unwon because most grant writers can write impact narrative but can't credibly describe the technical work, and most technical writers can write specs but can't tell the impact story. We do both.

Engagement structure

Fixed-price per proposal, with a hybrid retainer-plus-success-fee structure available for cloud partnership programs.

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What this includes
  • Technical proposal design and writing for foundation grants and government RFPs
  • Cloud partnership program applications (AWS Imagine Grants, Microsoft AI for Good, Google.org)
  • Architecture sections for grant submissions requiring technical specification
  • Budget and timeline development for technically complex proposals
  • Funder positioning — turning your existing work into its strongest form
  • Success-fee structures available for qualifying engagements
How we price

Priced after a scoping conversation. Never before.

Every engagement is priced after a scoping conversation, not before. We share clear pricing in a written proposal within 24 hours of the scoping call. No mystery line items, no hourly surprises, no negotiation theatre.

Scoped sprintsA defined question, a fixed timeline, a concrete deliverable. Best for strategy work, roadmaps, and architecture reviews.
Fixed-price projectsMost build work. A paid scoping phase agrees scope and architecture, then the main build runs against milestones.
Fractional retainersA senior engineer, AI/ML lead, or advisor embedded with your team on a monthly basis, when the work is ongoing.
Hybrid retainer + success feeUsed selectively for proposal and grant work — a smaller upfront retainer paired with a success fee on awarded funding.
Not sure which engagement fits?

Book thirty minutes. You will leave with a clearer view of your options and an honest recommendation on the right next step.

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