Deep AI Capability.
Battle-Tested Delivery.

Absolutely. Our AI Fluency phase is specifically designed for organizations at the beginning of their AI journey. We start with your team — giving them hands-on experience solving real problems with their own data. Many of our most successful engagements started with organizations that had zero AI infrastructure. The key difference is we build from a strong engineering foundation, not from slide decks.

We use a combination of proprietary AI-powered code analysis, automated migration tools, and our parallel environment development methodology. We assess your entire codebase, identify genuine technical debt (not just old code), and systematically eliminate it while building the modern foundation alongside your existing systems. The 80% target is based on our track record across multiple enterprise engagements — it's not aspirational, it's what we consistently deliver.

Our frameworks — BI2AI, PDLC2AI, Watchdog, and others — are proprietary tools built by our engineering team from production experience. They're not repackaged open-source tools or theoretical methodologies. They've been battle-tested across $80B aerospace companies, global insurance enterprises, and top-5 e-commerce brands. They accelerate delivery because they encode patterns we've proven at scale.

The full transformation program runs 12 months. However, you see value at every stage. AI Fluency delivers productivity improvements within 90 days. AI Flows begins generating workflow automation value within the first quarter. The full modernization compounds these gains over the full program. Most clients see positive ROI before the 6-month mark. You can also start with a 60–90 day proof of value before committing to the full program.

Yes. Each phase is designed to deliver standalone value. Many clients start with AI Fluency to build organizational momentum, then expand to AI Flows and Modernization as they see results. Others jump straight to Full Transformation when they're ready for comprehensive change. We'll help you determine the right starting point during the free AI Audit.

By the end of the program, your team is AI-fluent, your workflows are automated, and your platform is modern and scalable. We design for independence — our goal is to build your internal capability, not create ongoing dependency. That said, many clients choose to continue with targeted engagements on specific initiatives. The relationship evolves based on what creates the most value.

We work with boutique development consultancies in the $5–50M revenue range with established delivery teams. You need a minimum team size, an existing client base, and a willingness to commit to co-delivering 3 projects. We're looking for firms that want to build real AI capability — not just white-label our work. We vet for cultural fit and technical foundation during the application process.

For the first 3 co-delivered projects, the profit share is 50/50 — FractalShift engineers work embedded alongside your team, and we split the project profit. After those 3 projects, when your team is delivering AI-native work independently, we take a 15% incremental profit share on AI-enhanced engagements. We invest in your growth. You keep the majority of the upside.

No. That's the entire point. Spark is designed for firms that have strong engineering and delivery fundamentals but lack AI-specific capability. Our engineers embed with your team during co-delivery — your people learn by doing, not by sitting through training sessions. After 3 projects, they're AI-fluent through hands-on production experience.

Traditional BI tools require SQL expertise, pre-built dashboards, and significant setup time. Dashboards go stale. Birdseye is fundamentally different — it's a conversational AI Operating System that autonomously ingests, cleans, and unifies your data, then lets anyone ask questions in plain English. Every response includes confidence scores and source attribution, so you know exactly how reliable the answer is. It also has a Proactive Discovery Mode that surfaces insights you didn't know to ask about.

2–4 weeks from kickoff to live deployment. Birdseye autonomously ingests and maps your data sources, builds the semantic knowledge graph, and begins serving queries. It's not a 6-month data warehouse project — it's designed to deliver value in weeks, then get smarter over time as your organization uses it.

Yes. Birdseye supports multiple deployment models: Fractal-managed cloud (we host and operate it), your VPC (deployed in your own AWS/Azure/GCP environment), or a hybrid model. Enterprise security, compliance, and data residency requirements are fully supported.

Spark Discovery takes the entire front-end of a consulting engagement — client interviews, codebase analysis, observability data — and produces PRDs, architecture blueprints, cost estimates, and priced proposals. What takes senior partners weeks of manual work, Discovery does in hours. The output quality is consistent across your entire firm, not dependent on which partner runs the engagement.

Contact us for early access pricing. We're currently working with select consulting firms to refine the platform and pricing model. Early access partners get preferential terms and direct input into the product roadmap.