Independent consultants and specialist consulting firms carry enormous expertise — hard-won pattern recognition, diagnostic frameworks, intervention models built over years of client work. Almost none of it compounds. It sits in their heads, in bespoke decks, in the muscle memory of individual practitioners. When they're not in the room, it doesn't work.
The result is a structural ceiling that most consultants hit and never break through: time-dependent income, inconsistent client experience, no scalable way to deploy what they know. The expertise is real. The infrastructure to leverage it doesn't exist.
Tillar is the infrastructure layer where expert knowledge becomes structured, deployable, and compounding. The entry point is diagnostic products — the highest-leverage consulting tool that simultaneously generates leads, structures discovery, demonstrates expertise, and maps directly to paid engagements.
The platform takes a consultant's expertise as input and produces a working diagnostic tool as output — one that can be deployed to clients immediately, without the consultant in the room. Over time, as more consultants build on the platform, Tillar accumulates something no competitor can quickly replicate: a structured library of diagnostic architectures, problem ontologies, intervention pathways, and benchmark data across consulting domains.
- The consulting ontology — a structured knowledge base of problem types, diagnostic archetypes, and intervention models that the assembly engine draws from. Grows with every consultant who builds on the platform.
- Benchmark data — aggregated, anonymised insight from client diagnostic completions across domains. Over time this becomes the most comprehensive dataset of consulting problem patterns available.
- Diagnostic architectures — reusable structural patterns that make every new consultant's first diagnostic faster, smarter, and more precisely calibrated than anything they could produce alone.
- Network compounding — each consultant who builds on Tillar makes the platform more intelligent for the next. The moat widens through use, not through defensive action.
- Switching cost — a consultant's diagnostic product, their client data, their benchmark history, and eventually their entire methodology infrastructure lives on Tillar. The cost of leaving is the cost of rebuilding their intellectual capital elsewhere.
- Firm-level expansion — solo consultants are the entry point. Consulting firms are the commercial destination: shared diagnostic libraries, multi-practitioner access, practice-area intelligence, and firm-wide benchmark reporting.
Tillar is not an AI wrapper. The intelligence layer is a proprietary consulting ontology — a structured classification system that understands how consulting problems are typed, how diagnostic architectures are assembled, and how intervention models map to findings. The LLM handles language. The ontology handles reasoning. That distinction is what makes the output reliable enough to put in front of a client on day one — and what makes the platform defensible as it scales. Competitors can replicate the interface. They cannot quickly replicate the accumulated structured knowledge of how consulting actually works.
Entry: Independent consultants in high-signal niches — RevOps, operational architecture, AI adoption, pricing strategy — who already run informal diagnostics and understand the value of productising their methodology. Low sales friction, fast time to value, high motivation to adopt.
Expansion: Consulting firms seeking to systematise their IP, reduce practitioner dependency, and build defensible knowledge infrastructure. Longer sales cycles, significantly higher contract values, and the kind of organisational lock-in that drives durable revenue.
Model: B2B SaaS. Solo consultant tier for early traction and ontology seeding. Firm tier for commercial scale. Pricing tied to diagnostic deployments, active users, and access to benchmark intelligence.