From Client Interview to Priced Proposal. In Hours, Not Weeks.
Spark Discovery is an AI-powered consulting automation platform that ingests interviews, codebases, and observability data — then outputs PRDs, architecture blueprints, cost estimates, and priced proposals.
The Discovery Problem Is Killing Your Margins
Tech consulting firms spend 2–6 weeks on every new engagement doing the same thing: interviewing stakeholders, reviewing existing systems, mapping architecture, estimating effort, writing proposals.
This discovery phase is manual, repetitive, and expensive. Your best engineers — the ones who should be building — are stuck in conference rooms taking notes. Your sales cycle drags. Your proposal pipeline bottlenecks. And by the time you've scoped the project, the client has talked to three other firms.
Worse, the quality is inconsistent. One senior architect scopes a project at 12 weeks. Another scopes the same work at 20 weeks. Pricing becomes guesswork. Margins become unpredictable.
What Spark Discovery Actually Does
An AI engine that sits between your intake process and your proposal pipeline. Feed it raw inputs. Get structured, priced outputs.
What Goes In
Client Interviews
Recorded calls, meeting transcripts, stakeholder notes — any format
Existing Codebase
Git repos, architecture docs, API specs, dependency maps
Observability Data
Logs, metrics, APM traces, infra configs, cloud spend reports
Business Context
Revenue targets, team structure, timeline constraints, budget ranges
What Comes Out
Product Requirements Documents
Structured PRDs with user stories, acceptance criteria, and priority tiers
Architecture Blueprints
System diagrams, data flow maps, integration points, tech stack recommendations
Effort & Cost Estimates
Phase-by-phase estimates with confidence intervals and risk flags
Priced Proposals
Client-ready proposals with scope, timeline, milestones, and pricing options
How It Works
Three steps. One platform. Proposals that used to take weeks now take hours.
Ingest
Upload interview recordings, connect your Git repos, pipe in observability data. Spark Discovery normalizes everything into a structured knowledge graph.
Analyze
AI models cross-reference client needs against codebase complexity, team capacity, and historical project data to generate accurate scope and pricing.
Generate
Out comes a complete deliverable package: PRDs, architecture diagrams, cost breakdowns, and a client-ready proposal — reviewed by your team, sent same day.
Before vs. After Spark Discovery
| Before | With Discovery | |
|---|---|---|
| Discovery timeline | 2–6 weeks | 2–8 hours |
| Senior engineer time | 60–120 hours | 4–8 hours review |
| Estimate accuracy | ±40–60% | ±10–15% |
| Proposal quality | Varies by author | Consistently structured |
| Proposals per month | 3–5 | 15–25+ |
Built For Tech Consulting Firms
Spark Discovery is purpose-built for firms that scope and deliver custom software, infrastructure, and AI projects.
Mid-Market Consultancies
$5M–$50M revenue. 20–200 engineers. Winning more deals than you can scope.
Growth-Stage Firms
$50M–$100M revenue. Scaling proposal throughput without scaling headcount.
AI/ML Specialists
Firms specializing in AI/ML projects where scoping complexity is highest and margins matter most.
Early Access Pricing
Spark Discovery is currently in early access with a limited number of consulting firm partners.
Contact for Early Access Pricing
We're onboarding a select cohort of consulting firms to refine the platform. If you're a tech consultancy doing $5M–$100M in revenue, let's talk.
Request Early AccessWhat's included: Platform access, onboarding & training, ongoing support, and direct engineering feedback channel as we refine the product.
Stop Losing Revenue to Manual Discovery
If you're a tech consulting firm tired of slow proposal cycles and inconsistent scoping, Spark Discovery can help. Request early access and we'll schedule a demo.