Soca AI

Build, orchestrate and run private AI agents, data pipelines and voice tools.

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Screenshot of Soca AI, Build, orchestrate and run private AI agents, data pipelines and voice tools

What is Soca AI?

Soca AI is an AI project builder tool that builds orchestrate and run private AI agents, data pipelines and voice tools. Soca AI (Genesist 2.0) is an enterprise platform for building AI agents, orchestrating data pipelines, running internal chat search and deploying voice AI, with cloud, private cloud and on-premise options including a Dell-built appliance.

Soca AI is an enterprise AI platform, branded as Genesist 2.0, that bundles several products under one roof: a studio for building AI agents, a data orchestration layer, a chat interface for querying internal systems, and a voice product for conversational deployments. The pitch is control. Teams can run the stack in the cloud, in a private cloud, or fully on-premise, and there is a hardware option, the Genesist Appliance, offered in an Agentic AI Edition (A2E) and a Data Lakehouse Edition (DLE), built in collaboration with Dell. The build side centers on agents that connect to business systems such as SAP, Salesforce, Google Sheets, MySQL, Snowflake and Oracle, then reason over retrieved knowledge before taking actions like CRM updates or sending email. A visual workflow builder, shown on the site as Deep Analysis, combines conversations, global prompts, knowledge bases, conditions and integrated tools. The data product handles pipeline work (extract, transform, load) with progress states and row counts, aimed at teams moving large volumes between operational systems and a warehouse. In practice, a company connects its systems, defines an agent or pipeline, tests it against real data, and deploys it within its own infrastructure. The chat product answers questions by searching connected sources, while the voice product covers real-time speech applications, with streaming WebSocket guidance published on GitHub. Soca publishes educational material on AI strategy, agentic systems, voice AI and on-prem deployment, which suggests the buyer is often a technical leader who needs to justify the deployment model as much as the model itself. It sits closest to managed enterprise agent platforms and data integration suites rather than to self-serve productivity tools. The customer list is weighted toward telecom, energy, banking, government and professional services, mostly in Indonesia, and the site claims more than 1,000 agents deployed and over 100TB of data processed. Pricing is not published on the homepage, so procurement conversations start with sales.

How do you use Soca AI?

  1. 1Review the platform architecture
    Start on the platform page to understand how the agent studio, data orchestration, chat and voice products fit together, and which deployment model is realistic for your organization.
  2. 2Read the on-prem deployment guide
    If data residency or compliance is a constraint, read the on-prem deployment learning track before evaluating the cloud option, since it shapes the rest of the buying process.
  3. 3Study the agentic AI material
    The agentic AI guides explain how autonomous agents are positioned in enterprise operations and what kinds of work they are meant to automate.
  4. 4Look at the studio and data products
    The studio page covers agent and workflow construction, while the data page covers pipeline orchestration. Read both to decide which part of the stack your first project should use.
  5. 5Contact sales to scope a deployment
    Pricing and access are handled through sales. Use the contact page to request a demo and describe your systems, data volumes and deployment requirements.

Pros and cons

Pros

  • Deployment flexibility covers public cloud, private cloud and fully on-premise, which suits regulated buyers.AI
  • Agent builder combines knowledge retrieval, conditions and tool actions in one visual workflow.AI
  • Paired data product handles ETL pipelines and row-level progress alongside the agent layer.AI
  • Voice product includes real-time streaming guidance and a public WebSocket example on GitHub.AI
  • Substantial published learning material on strategy, agentic AI, voice and on-prem deployment.AI

Cons

  • No public pricing, so costs cannot be compared without contacting sales.AI
  • The platform is heavy: agent studio, data orchestration, chat, voice and hardware is more than most teams need to start.AI
  • Evidence of customer deployments is concentrated in Indonesia, which may matter for buyers wanting regional peers.AI
  • Some claimed capabilities, such as the appliance editions, are described at a high level with little public technical detail.AI
  • Self-serve evaluation appears limited, with talk to sales as the main entry point.AI

How much does Soca AI cost?

Support

Support is routed through the contact page for sales and demo conversations. The site also publishes learning tracks and reports, but no dedicated help centre is linked from the homepage.

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Integrations

The homepage names WhatsApp, SAP, Salesforce, Google Sheets, MySQL, Snowflake and Oracle as connected systems in its workflow and pipeline examples.

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Features

Agent studio with visual workflow building, knowledge base retrieval, conditions and tool actions; data orchestration with ETL pipelines across systems such as SAP, Salesforce, MySQL, Snowflake and Oracle; chat that searches connected sources; voice AI with real-time streaming; cloud, private cloud and on-premise deployment; Genesist Appliance in Agentic AI (A2E) and Data Lakehouse (DLE) editions.

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Frequently asked questions about Soca AI

  • How do you use Soca AI?
    The walkthrough on this page covers 5 steps: 1. Review the platform architecture 2. Read the on-prem deployment guide 3. Study the agentic AI material 4. Look at the studio and data products 5. Contact sales to scope a deployment.
  • What platforms does Soca AI support?
    Soca AI is available on Web App.
  • What does Soca AI integrate with?
    The homepage names WhatsApp, SAP, Salesforce, Google Sheets, MySQL, Snowflake and Oracle as connected systems in its workflow and pipeline examples.
  • What are the limitations of Soca AI?
    No public pricing, so costs cannot be compared without contacting sales. The platform is heavy: agent studio, data orchestration, chat, voice and hardware is more than most teams need to start. Evidence of customer deployments is concentrated in Indonesia, which may matter for buyers wanting regional peers.

Status

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Added10/21/2026

Platforms

Web App

Pricing

Paid