What the pipeline produced.

Pre-sale prototype, then contracted SDLC. Three real engagements.

Enterprise Security Company

Biometric Security Platform

Pre-sale prototype convinced the client; the contracted SDLC build shipped a $110k biometric platform in 4 weeks with zero rejected pull requests.

$110k

Contract Value

4 weeks

Delivery Time

0

Rejected PRs

Challenge

The client needed a novel lattice-based biometric cognition engine — not traditional facial recognition. On-prem only, no cloud. Technically complex with custom ONNX models and real-time inference.

What We Did

Pre-sale: a hosted prototype demonstrating the core inference pipeline against client-provided sample data. After signing: the SDLC loop ran feedback to plan to locked build to release across four weekly cycles. The client saw a working build at the end of every cycle.

  • 272ms inference time on CPU-only hardware (no GPU required)
  • Complete deliverable: enrollment API, verification API, admin UI, audit logging
  • Algorithmic documentation sufficient for patent filing
  • Red-team validation ready

Global Ingredients & Manufacturing Company

Manufacturing Scheduling Platform

Pre-sale prototype scoped the floor workflow live; the contracted SDLC produced a working pilot in one month.

$200k+

Contract Potential

1 month

Concept to Pilot

3

Platform Components

Challenge

Manufacturing facilities still coordinate with whiteboards and paper printouts. The client needed a modern digital scheduling system that works on industrial displays, syncs to mobile, and gives management real-time visibility across facilities.

What We Did

The pre-sale prototype became the alignment artifact — both sides looked at the same hosted demo and agreed on what to build before the contract. SDLC delivery shipped industrial-grade digital whiteboards, mobile app sync, and a web management dashboard one month later.

  • Digital whiteboard displays for break rooms and factory entrances
  • Mobile app with push notifications and shift swap requests
  • Web dashboard for cross-facility scheduling and contractor coordination
  • Cross-industry applicability: manufacturing, construction, logistics

Financial Technology Company

Banking API Specification Engine

Multi-scope context extraction is what made this one tractable — an FRD engine across 15 banking cores, with the platform’s memory carrying every learned schema between cycles.

15

Banking Cores

Weeks → Hours

FRD Generation

AI + Human

Review Workflow

Challenge

The client was building a universal banking integration platform across 15+ different banking cores (Fiserv, Jack Henry, FIS, etc.). Manually writing Feature Requirements Documents for each API combination was taking weeks per integration.

What We Did

A spec engine that ingests API schemas (GraphQL + REST), maps fields automatically with AI assistance, enables human review of mappings, and generates complete FRDs. The Vertikals platform’s multi-scope context store kept every learned schema queryable in the next cycle. What took weeks now takes hours.

  • Ingests both GraphQL and REST API schemas
  • AI-assisted field mapping with confidence scores
  • Human review workflow for mapping verification
  • Scalable: add a new banking core schema, get an FRD automatically

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