Ragu.ai

What Ragu.ai does

Ragu.ai is a private, founder-owned AI services firm founded in 2022 by serial entrepreneur Robertson Price, headquartered in North Las Vegas. The company helps enterprises adopt AI through a structured three-phase engagement — Map (2-4 weeks), Build (6-12 weeks), and Promote (ongoing) — delivered by Ragu's team and underpinned by a proprietary production-grade AI platform deployed in client-controlled AWS environments. The platform centers on permissioned Retrieval Augmented Generation (RAG) with ACL-aware enterprise memory, MCP-based agent orchestration, an ingestion pipeline for documents, tools, email, code, and operating data, and a review control plane providing sandbox environments, skill-file gates, approvals, audit trails, and rollback paths.

The company's primary customer segment is enterprises that "have something to lose" — organizations with reputational, regulatory, and operational exposure that want AI agents to act in production without compromising governance. Secondary segments include operators serious about deploying agents under governance and Private Equity portfolio companies seeking operating leverage. Ragu's go-to-market is consultative enterprise sales, with marketing driven by thought-leadership content, notably the "Promotion Gap" framework — the company's branded thesis that the real cost of enterprise AI is the failure to safely promote employee-and-agent output from sandbox into production.

Ragu's business model is professional services revenue from custom engagements rather than software licensing, with a self-serve platform (app.ragu.ai) supporting access but not yet a self-serve revenue stream. Its most visible proof point is the Feelings Engine built for luxury travel firm Black Tomato, in production since 2024, credited with a +13% conversion uplift and 6,500+ personalized prompts, and recognized at the 2025 Travel Marketing Awards. The company has no disclosed funding, no institutional investors, and no public pricing.

Name

Ragu.ai

Website

https://ragu.ai

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

1–10 employees

Short description

Ragu.ai is a private AI services firm that helps enterprises safely deploy AI agents through a three-phase engagement (Map, Build, Promote) backed by a proprietary RAG, orchestration, and governance platform deployed in client-controlled AWS environments.

Ownership category

akta.pro rank

Product category

Enterprise AI Services

NAICS

Computer Systems Design Services (541512)

SIC

Services-Computer Programming Services (7371)

akta.pro primary industry

LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)

akta.pro secondary industries

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI/ML Engineering & Model Development Services (BPAEAHAF), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)

Keywords

• Enterprise AI consulting
• AI production platform
• RAG deployment services
• AI agent governance
• AI implementation services

Headquarters

HQ city

North Las Vegas

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Professional Services Engagements: Services firm hired to map, build, and promote AI work inside live businesses. engagements follow a structured process: Map (2-4 weeks), Build (6-12 weeks), Promote (ongoing). The engagement is delivered by Ragu's team and runs on Ragu's own platform. Revenue comes from consulting and implementation services rather than software licensing.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels2 records

Core offering

Ragu.ai operates as an AI services firm that helps enterprises safely adopt AI through a three-phase engagement model (Map, Build, Promote) backed by its own production-grade platform. The platform provides ingestion of documents, tools, email, and code into a permissioned RAG memory, an agent runtime with MCP orchestration, and a review control plane with sandbox, skill-file gates, audit trails, and rollback capabilities. Deployments run in client-controlled AWS environments, with revenue generated from consulting and implementation services rather than software licensing.

Product overview

Ragu.ai offers a three-phase engagement service (Map, Build, Promote) built on top of its core production-grade AI platform. The platform consists of ingestion jobs for documents/tools/email/code, permissioned RAG with ACL-aware enterprise memory, an agent runtime supporting MCP orchestration, and a review control plane with sandbox, skill-file gates, audit trails, and rollback capabilities. All deployments run in client-controlled AWS environments. The engagement phases guide enterprises from opportunity mapping through working surface testing to production promotion of AI capabilities.

Differentiator

Problem solved

Functional benefit

Products and services

• Ragu Platform Production-grade AI platform for enterprises, providing ingestion jobs for documents, tools, email, and code, permissioned RAG with ACL-aware enterprise memory, citation-backed retrieval, an agent runtime supporting MCP orchestration, and a review control plane with sandbox, skill-file gates, audit trails, and rollback. Deployed in client-controlled AWS environments.
• Map Phase Engagement 2-4 week engagement phase covering leadership alignment, stakeholder sessions, system and data review, user pain, and risk posture. Produces an AI opportunity inventory and identifies the first working surface.
• Build Phase Engagement 6-12 week engagement phase that deploys memory, agent pathways, integrations, and review surfaces to test real work with real users. Measures time saved, output quality, adoption signals, failure modes, and promotion readiness.
• Promote Phase Engagement

Quantifiable outcome

• +13% conversion rate uplift for Black Tomato's Feelings Engine
• +1 more outcomes

Named customers2 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature5 records

Scale indicators2 records

Recent moves6 records

Expansion highlights4 records

Broad incumbents

• Booz Allen Hamilton: Booz Allen Hamilton is a large government and enterprise AI consultancy with proprietary AI platforms and governance practices, competing for the same enterprise AI strategy and production engagements Ragu targets.
• Accenture (with its Generative AI Studio): Accenture delivers large-scale enterprise AI consulting backed by proprietary tools and a deep delivery bench, the dominant incumbent in the same enterprise AI services market Ragu addresses.
• C3.ai: C3.ai is an enterprise AI platform vendor with a model-driven applications suite and professional services, overlapping with Ragu's positioning of a governed production layer for enterprise AI.
• Palantir Technologies: Palantir delivers enterprise AI platforms (Foundry, AIP) alongside embedded forward-deployed engineers, the same combination of proprietary platform plus services-led delivery that Ragu pursues, but at much larger scale.

Direct peers

• DataRobot: DataRobot provides an enterprise AI/ML platform with associated model deployment, MLOps, and governance services, mirroring Ragu's RAG/orchestration/governance stack delivered through consulting engagements.
• Scale AI: Scale AI combines proprietary data and evaluation tooling with enterprise AI services, a closely analogous services-plus-platform hybrid targeting enterprise generative AI deployments.
• Slalom: Slalom is a services-led consultancy with a strong private equity practice and proprietary AI accelerators, directly comparable to Ragu's services-plus-platform model serving enterprise and PE clients.
• Turing: Turing combines a managed AI engineering talent platform with enterprise AI delivery services, a comparable services-plus-platform model aimed at operationalizing AI inside enterprises.

Emerging players

• Fiddler AI: Fiddler AI provides an AI observability, explainability, and governance platform, directly comparable to Ragu's responsibility, audit, and review gates for production AI systems.
• WhyLabs: WhyLabs is an AI observability and monitoring platform for LLMs and ML models, closely overlapping with Ragu's review control plane, audit, and rollback capabilities around production AI agents.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/ragu-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Ragu.ai