Arkeo Ai

What Arkeo Ai does

Arkeo AI is a private, San-Francisco-based AI deployment company that builds and operates custom AI agents for mid-market businesses (typically $10M-$200M revenue, 25-300 employees). Founded in 2023 by operators with self-reported 25 years of business experience, the company targets companies that have moved past AI experimentation but lack the internal expertise or infrastructure to productionize agentic workflows. The core product is bespoke workflow agents that read, decide, and act across the customer's CRM, ERP (e.g., Sage), and document systems, with mandatory human-in-the-loop approval gates before irreversible actions. Agents are orchestrated via LangGraph, served using the vLLM inference engine, grounded in a private pgvector knowledge base with HNSW indexing, and run on open-weight foundation models (Llama 4 Scout, 109B parameters). Arkeo offers three deployment SKUs — On-Premise (NVIDIA H200 GPU clusters inside the customer's facility), Hybrid (on-prem gateway plus private cloud), and Dedicated Cloud (A100/H100 on isolated cloud instances) — each with the customer's AES-256 keys held on their side. A proprietary Agent Command Center provides operational visibility across deployments; a Secure Gateway with intelligent request routing auto-classifies sensitive workloads to on-prem; and a Shadow AI Detection module surfaces unsanctioned public AI usage by employees. Proprietary features operate alongside open-source infrastructure (NVIDIA GPUs, Ubuntu, Python, Docker, Kubernetes).

The business model is high-touch, consultative enterprise sales with three monetization layers: (1) one-time custom agent build fees ($15K-$50K depending on cloud vs. private path), (2) hardware sales for on-prem deployments ($42K-$95K), and (3) recurring managed operations plus cloud compute ($4,200-$6,800/month). Year-1 customer totals range approximately $180K (Dedicated Cloud) to $233K (Hybrid). The funnel starts with a free 60-minute AI Assessment capped at six sessions per month, which produces a 12-month AI Agent Implementation Plan; closing a deal then moves the customer through the Assess-Deploy-Manage methodology, with managed services as the anchor for recurring revenue. Stated verticals include Construction & Engineering, Engineering & Environmental firms, and Family Offices & Business Owners; the geographic footprint is the United States and Canada. The company currently operates with 1-10 employees and has no disclosed funding, customer logos, patents, or partnerships in the source material.

Name

Arkeo Ai

Legal name

Arkeo AI Inc.

Website

https://arkeoai.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

1–10 employees

Short description

Arkeo AI is a private, San Francisco-based AI deployment firm that builds and manages custom AI agents for mid-market US/Canadian businesses, offering on-premise, hybrid, and dedicated cloud deployments with customer-managed encryption and a proprietary Agent Command Center.

Ownership category

akta.pro rank

Product category

Enterprise AI Agents

NAICS

Custom Computer Programming Services (541511), Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)

akta.pro secondary industries

Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)

Keywords

• Custom AI agents
• Private AI deployment
• AI workflow automation
• Enterprise AI infrastructure
• On-premise AI solutions

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Custom AI Agent Development: Scoped single-workflow custom AI agents built for specific business workflows. Cloud path: $15,000-$40,000. Private/on-premise path: $20,000-$50,000. Includes workflow mapping, integration, deployment, and initial testing.
2. Hardware Sales: Sale and rack-mounting of enterprise GPU hardware. On-premise Gateway: $42K-$55K. On-premise full GPU cluster: $75K-$95K. Hardware is delivered, configured, and rack-mounted as part of deployment.
3. Managed Operations: Ongoing managed services for AI system operation. Cloud: $4,500/mo. Hybrid: $6,500/mo. On-premise: $5,500/mo. Includes system monitoring, model updates, agent management, and team upskilling support.
4. Cloud Compute: Dedicated cloud compute resources for Hybrid and Dedicated Cloud deployments. Hybrid: $4,200/mo. Dedicated Cloud: $6,800/mo. Provides dedicated NVIDIA A100/H100 GPU instances with isolated networking.
5. AI Assessment (Free Lead Magnet): Free 60-minute AI strategy session that produces an AI Agent Implementation Plan. Generates qualified leads for paid engagement. Part of the Assess-Deploy-Manage methodology.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

Arkeo AI designs, builds, and manages custom AI agents that automate business workflows for mid-market companies. Agents read, decide, and act on tasks across CRM, ERP, and document systems, with human approval gates. The company delivers these agents through three deployment models (On-Premise, Hybrid, and Dedicated Cloud) built on open-source enterprise infrastructure including NVIDIA GPUs, Llama 4 Scout models, vLLM inference, and LangGraph orchestration.

Product overview

Arkeo AI is a custom AI agent deployment company that builds and manages private AI workforce solutions for mid-market businesses. The core offering is custom AI agents built for specific company workflows, complemented by a free AI Assessment strategy session that produces a 12-month implementation plan. Three deployment models are offered: On-Premise AI (NVIDIA H200 GPUs, 90-day deployment, $206K year-one total), Hybrid AI (on-premise + private cloud, 60-day deployment, $233K year-one total), and Dedicated Cloud AI (NVIDIA A100/H100, 30-day deployment, ~$180.6K year-one total). All deployments include a unified Agent Command Center dashboard for monitoring agents, workflows, and activity across the AI workforce. The platform is built on open-source technology (NVIDIA, Ubuntu, Python, Docker, Kubernetes) and supports Llama 4 Scout, vLLM, LangGraph, and pgvector.

Differentiator

Problem solved

Functional benefit

Products and services

• AI Assessment (Free Strategy Session) A free 60-minute strategy session for mid-market businesses that produces an AI Agent Implementation Plan identifying quick wins, top agent opportunities with ROI, and a 12-month strategic roadmap. Acts as lead generation for paid engagements.
• Custom AI Agents Custom-built AI agents that automate specific business workflows across Sales, Admin, Finance, Operations, Marketing, and Compliance functions. Agents integrate with existing CRM, ERP, and document systems, operate with mandatory human approval gates, and are managed through a unified Agent Command Center dashboard.
• On-Premise AI Deployment Private AI infrastructure deployed inside the customer's facility on NVIDIA H200 GPU clusters. All AI processing runs on customer-owned hardware with no cloud calls, customer-managed AES-256 encryption keys, and zero-trust architecture. Includes pgvector knowledge base, vLLM inference, and LangGraph orchestration.
• Hybrid AI Deployment Hybrid two-layer AI infrastructure that combines on-premise GPU clusters for sensitive data (NVIDIA L40S) with private cloud compute for general workloads. A secure gateway automatically classifies and routes requests, keeping client data on customer hardware while scaling burst capacity through cloud.
• Dedicated Cloud AI Deployment Enterprise-grade AI on dedicated cloud instances with NVIDIA A100/H100 GPUs, isolated networking, and customer-managed encryption keys. Includes Llama 4 Scout model (109B parameters), vLLM inference engine, and LangGraph orchestration. No shared infrastructure or co-located data.

Quantifiable outcome

• 87% reduction in estimating time for construction companies (4 hours becomes 45 minutes)
• +8 more outcomes

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability5 records

Feature5 records

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Lindy AI: AI agent builder for business workflows including sales, marketing, and operations tasks. Competes for the same customer persona (operators without in-house AI teams) wanting custom agent deployments.
• Cognosys: AI agent platform for businesses automating multi-step workflows with similar sales/marketing/operations agent use cases. Targets the same mid-market operator seeking agent-driven productivity gains.
• Stack AI: No-code enterprise AI agent platform that lets teams build and deploy AI workflows integrating with CRMs, ERPs, and document systems. Closely comparable in target buyer (mid-market), deployment model (private cloud / dedicated), and agent-first positioning.
• Relevance AI: AI agent platform that enables mid-market and enterprise teams to build and deploy custom AI workforces with similar workflow automation focus. Targets overlapping buyer (operations leaders) and emphasizes agents that integrate with existing systems.
• VectorShift: Enterprise AI automation platform for building and deploying custom AI workflows with integrations to business systems. Comparable in workflow-agent focus and mid-market positioning.
• Private AI: Focused on privacy-preserving AI deployment for enterprises with sensitive data — directly overlaps with Arkeo's data sovereignty positioning and on-premise/private cloud deployment story.

Broad incumbents

• SambaNova Systems: Enterprise AI infrastructure provider offering private, on-premise AI deployments with proprietary chip and full-stack software. Comparable private-deployment positioning for enterprises that cannot send data to public cloud AI APIs.
• Moveworks: Enterprise AI platform for employee service automation across IT, HR, and operations. Targets larger enterprise buyers but overlaps in agent-driven workflow automation and system integration.

Emerging players

• CrewAI: Multi-agent orchestration framework built on LangGraph-like architecture for coordinating teams of AI agents. Comparable orchestration technology stack and workflow-automation focus, though ships as a developer framework rather than a managed service.
• n8n: Workflow automation platform with AI agent nodes increasingly used by mid-market teams to orchestrate AI across business systems. Adjacent technology layer that competes for the same custom-automation use cases.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/ArkeoAI
• YouTubeyoutube.com/@ArkeoAI
• LinkedInlinkedin.com/company/arkeo-ai
• Instagraminstagram.com/arkeoai

Revenue estimate

Valuation estimate

Number of profiles

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 Arkeo Ai