Prolego
AI Consulting Strategy
Prolego is an AI consultancy that uses Performance-Driven Development to get stalled LLM projects into production.
About
Prolego is a Raleigh-based AI consultancy, operating since 2017, that specializes in getting LLM projects unstuck and into production. Their proprietary Performance-Driven Development methodology addresses the core transparency problem that causes LLM initiatives to stall: the inability to predict timelines, forecast costs, detect regressions, or quantify model behavior. Prolego applies this framework through four structured phases — organizing data and tasks, building the AI solution using 13 defined optimization techniques, designing a custom evaluation framework with KPIs, and generating performance reports with a forward-looking investment roadmap.
They work with enterprise organizations that are managing backlogs of LLM projects or launching their first, with a focus on building internal AI capability alongside delivering production-ready systems. Named clients include Lockheed Martin, Bosch, Citi, and Morgan Stanley.
What They Do
Performance-Driven Development Engagements
Defining business goals in a format that creates shared understanding across technical and non-technical stakeholders
Improving LLM performance through 13 documented optimization techniques applied systematically
Designing custom evaluation frameworks with KPIs that instantly measure model performance in production
Generating customized performance reports and roadmaps for future AI infrastructure investment
AI Capability Building
Guiding teams from experiment and demo phase to production deployment — measured in weeks, not months
Building in-house AI expertise so clients can sustain and scale solutions after the engagement ends
Securing internal alignment across legal, security, and executive stakeholders by demonstrating how solutions perform and mitigate risk
Services & Tech Stack
- AI Proof of Concept
- AI Use Case Identification
- LLM Evaluation & Testing
- Enterprise AI Architecture Review
- AI KPI Framework Design
Is This a Fit?
Enterprise teams with stalled or underperforming LLM projects that need a structured, measurable path to production — particularly organizations managing multiple AI initiatives simultaneously.
Teams seeking general software development, early-stage startups without a defined LLM use case, or organizations looking for off-the-shelf AI tool implementation rather than custom methodology-driven delivery.
Ideal Client
CIO, VP of AI, or Head of Digital Transformation at an enterprise organization with an active but underperforming LLM initiative.
Track Record
Prolego has operated as an AI consultancy since 2017, serving enterprise clients including Lockheed Martin, Bosch, Citi, and Morgan Stanley. Their Performance-Driven Development methodology is built around 13 documented LLM optimization techniques and a structured four-phase delivery framework.
Common Outcomes
- LLM projects moved from experiment or demo to production deployment in weeks rather than months
- Custom KPI-based evaluation frameworks that instantly detect model regressions and measure performance
- Documented optimization roadmaps giving enterprise teams a clear path for future AI infrastructure investment
- Internal AI capabilities built so client teams can sustain and scale solutions after engagement ends
Notable Clients
Use Cases
Case Studies
This vendor has not published detailed case studies yet.
At a Glance
Location
Raleigh, United States
Founded
2017
Timeline
Weeks to months depending on project complexity; methodology explicitly targets moving projects from demo to production faster than traditional approaches.
Delivery
RemoteEngagement
Project BasedClient Tier
EnterpriseRegions Served
Northern AmericaLanguages
English
Focus Areas
Industries
Specialties
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| Signal | |||
|---|---|---|---|
| Category | AI Consulting Strategy | AI Consulting Strategy | AI Consulting Strategy |
| Location | Raleigh, United States | London, United Kingdom | Berlin, Germany |
| Team Size | Not listed | Not listed | Not listed |
| Client Tier | Enterprise | Enterprise | Enterprise |
| Delivery Model | Remote | Hybrid | Hybrid |
| Typical Budget | Not listed | $250,000+ | Not listed |
| Services | AI Proof of ConceptAI Use Case IdentificationLLM Evaluation & Testing+2 | AI Use Case IdentificationAI Operating Model DesignAI Proof of Concept+2 | AI Use Case IdentificationAI Operating Model DesignAutonomous AI Agents+2 |
| Tech Stack | Not listed | Not listed | Not listed |