Magnetforce_logo-1

Private AI for Salesforce. On your terms.

Magnetforce gives CIOs and IT Leaders a controlled path to AI inside Salesforce. Your tenancy, your approved models, no AI platform tax. 

Live in 2 weeks
IT Leaders Challenge

AI in CRM is exciting. Then comes review.

DATA SOUVEREIGNITY

Sensitive data, vendor controlled AI

Customer, case, and pipeline data ends up processed in environments IT cannot fully govern. Privacy, residency, and audit reviews stall the rollout.

LOCK IN & COST

AI platform tax, hard to forecast

Native AI features add another pricing layer on top of model usage and tie roadmap to one vendor. Costs are unclear before scale up and renewal.

PILOT TO PRODUCTION

Stuck in security review

Useful demos do not become production tools. Architecture, monitoring, and governance evidence is missing when business asks for go live.

 

What it is

A private AI layer for Salesforce

  Runs in your tenancy: public cloud, private cloud, or private network
  Works with your existing Salesforce data. No Data Cloud required 

  Uses your approved AI models. Local or cloud, your choice 


 Open source core. Configuration artifacts and orchestration you largely own 


  Plugs into Sales, Service, and Experience Cloud through standard configuration artifacts 


  OpenTelemetry tracing, usage and cost logs, environment export and import 


  No platform tax on AI model costs. You pay your providers directly 

Diagram
What IT keeps in control

Your tenancy. Your models. Your operations.

Three things that stay on your side of the line.

Siebel UX

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DATA SOVEREIGNITY

Your tenancy, your data residency

Magnet AI deploys to your public cloud, private cloud, or private network. Sensitive customer, case, and pipeline data does not have to leave a vendor controlled AI environment to get useful outputs.
For IT: Shorter security review. Stronger GDPR and residency posture.
 
NO LOCK IN

Approved models, no platform tax

Connect any approved LLM, speech, and embedding provider, including locally deployed models. Swap providers per privacy, cost, or language need without rebuilding use cases. Pay your providers directly.
For IT: Predictable AI spend. Optionality across providers and regions.
 
OPERABILITY

Open source core. Full observability

Magnet AI itself is free and open source. Every LLM call, RAG answer, and agent run is logged with cost, latency, and quality. OpenTelemetry traces feed your monitoring stack. Configs promote across dev, test, and prod through APIs.
For IT: Production support, audit trail, and a credible TCO story.

Knowledge connectors, environment export and import, evaluation tooling, multi channel delivery and more are included. Every use case is configurable and tailored to your organization.

In Production

Magnet AI runs at real customers

The platform behind Magnetforce is already in production at the organizations below.

"Insert customer quote about the impact of Magnet AI on technician Q&A, customer summarization, spare parts search, or IoT insights."

 

 

Konecranes

Industrial & service operations

"Insert customer quote about Magnet AI powering customer-facing and employee-facing chatbots across the public web and Salesforce."

 

Tet

Telecommunications

"Insert customer quote about Magnet AI extracting insights from attachments and generating structured evaluations for agency employees."

 

LIAA

Government support program

Pricing

Two line items. No surprises.

No platform markup on AI model costs. You pay your providers directly.

Onboarding

€6,000
one time

Mandatory 2-week setup. All Salesforce configuration artifacts are free. Covers Sales, Service, and Experience Cloud setup, plus the customer's first use cases.

Infra & AI models

Your Providers
provided by you

Container runtime, PostgreSQL, and your approved AI models. Runs in your public cloud, private cloud, or private network. 

 

Magnet AI itself is free and open source. Premium support is available separately and is highly recommended for production use.

Why Ideaport Riga

A Salesforce implementation partner, building practical AI for the platform.

Not a generic AI vendor learning Salesforce. A Salesforce delivery team that knows where AI actually pays off in Sales, Service, and Experience Cloud.

Salesforce native

Standard configuration artifacts and APIs.

Customer controlled

Your cloud, your models, your data.

Used in production

Konecranes, Tet, GMC, and LIAA.

Open source core

Magnet AI is free. You largely own it.

FAQ

Everything in detail

The fine print for IT, security, architecture, and procurement.

Want to discover more of Agentforce in action?

Contact us today to schedule a consultation and discover how our Salesforce Agentforce solutions can drive innovation and growth for your organization.

Dace Cirule-Head of Business Development
BASICS
What is Magnetforce in plain language?

Magnetforce is a private AI layer for Salesforce Sales Cloud, Service Cloud, and Experience Cloud. It adds practical AI use cases to the Salesforce environment your team already uses: account research, pre-meeting briefings, call transcription, conversation summaries, sales reports, and CRM record enrichment.


It is built by Ideaport Riga, a Salesforce implementation partner.

Is Magnetforce a replacement for Salesforce?

No. Salesforce stays the system of record and the daily work surface. Magnetforce connects to Salesforce through standard configuration artefacts and APIs, so AI-assisted outputs appear inside Sales Cloud, Service Cloud, and Experience Cloud.

Why does Magnetforce exist?

About 50% of agentic AI projects stay stuck in pilot, with security and compliance cited as the primary barriers (Architecture and Governance, 2026). Magnetforce is designed to clear those barriers by running in customer-controlled infrastructure and using customer-approved AI models, so AI projects can move from pilot into production inside Salesforce.

Who is Magnetforce for inside IT?

CIOs, IT Directors, Salesforce platform owners, IT architects, and security and compliance leaders at midsize and enterprise Salesforce customers who need AI inside Salesforce workflows but want control over data residency, model choice, cost, and operations.

FOR IT LEADERS
How does Magnetforce reduce AI vendor lock in?

AI orchestration sits in the open source Magnet AI layer, not in a vendor controlled black box. Prompts, RAG flows, tools, and agents are configuration artifacts you own. You can swap language, speech, and embedding model providers without rebuilding use cases, and there is no platform markup on AI model usage.

Where does the data go and where is AI processed?

Magnet AI runs in customer controlled public cloud, private cloud, or private network environments. Sensitive sales, service, customer, case, and knowledge data does not have to be processed in a vendor controlled AI environment. Model providers are also your choice, including locally deployed models for maximum data residency control.

How does Magnetforce help with security and compliance review?

Sensitive data stays inside customer controlled infrastructure. Deployment components, integration patterns, and monitoring hooks are documented for architecture review. Prompts, RAG flows, and tools are versioned configuration artifacts that can be governed and audited. Configuration export and import APIs make environment promotion repeatable across dev, test, and production.

How are AI configurations promoted across environments?

Magnet AI provides export and import APIs for prompt templates, RAG flows, retrieval tools, API tools, MCP tools, and agents. Teams move AI assets across development, test, staging, and production with a repeatable operating model and a clear audit trail, instead of ad hoc reconfiguration.

What does open source mean for Magnet AI?

Magnet AI itself is free and open source. Customers largely own the solution: the orchestration layer, the configuration artifacts, the operating logs, and the model choice. Premium support is available separately from Ideaport Riga and is highly recommended for production use.

HOW IT WORKS
How does Magnetforce work with Salesforce?

Magnetforce uses standard Salesforce configuration artefacts that connect Sales, Service, and Experience Cloud to the Magnet AI platform via API. A user triggers an action in Salesforce, Salesforce sends record context to Magnet AI, Magnet AI orchestrates the right prompt template, RAG flow, retrieval tool, or agent, an approved AI model runs, and structured output returns to the Salesforce record. Usage, cost, and quality are logged.

What is the Magnetforce architecture?

Three layers:

Salesforce layer - Sales Cloud, Service Cloud, Experience Cloud. Where users see, trigger, and consume AI-assisted workflows.

Magnet AI layer - A low-code AI orchestration platform with prompt templates, RAG tools, retrieval tools, API and MCP tools, agents, knowledge sources, channels, evaluation, usage analysis, and OpenTelemetry tracing.

AI Models layer - Customer-approved language, speech, and embedding models, deployed locally or in the customer's chosen cloud.

Where can Magnetforce be deployed?
Magnet AI deploys in customer-controlled public cloud, private cloud, or private network environments. For Azure, the documented resources include virtual network, Azure Database for PostgreSQL, Azure Container Apps, Microsoft Foundry / Azure OpenAI as an optional model provider, and Azure Container Registry as an optional container source.
What AI models does Magnetforce use?
Customer-approved language models, speech models, and embedding models. Magnet AI connects to many LLM providers by storing API keys, capabilities, and costs, and can use either locally deployed LLMs or public cloud models under the provider's security and privacy policies. There is no platform markup on AI model costs.
What knowledge sources can Magnetforce connect to?
Magnet AI supports document ingestion, parsing, chunking, vector embedding creation, semantic search, and metadata filtering across sources such as Salesforce Knowledge, SharePoint, HubSpot CMS, Oracle Fusion Knowledge, public file stores, and websites. Custom connectors are supported via OpenAPI v3 or MCP. No Data Cloud is required.
How is AI quality and cost monitored?
Every LLM call, RAG question and answer, and agent conversation is logged and analyzed by response quality, cost, and latency. Dashboards aggregate performance over time. Technical traces are available in OpenTelemetry format and can be sent to external monitoring tools such as Azure Monitor.
PRICING & COMMERCIAL
How is Magnetforce priced?

Two main commercial components.

Onboarding: 6,000 EUR one time. All Salesforce configuration artefacts are free; a 2-week onboarding engagement is mandatory.

Infra and AI models: provided by the customer (container runtime, PostgreSQL, and access to AI models). No platform tax on AI model costs.

Magnet AI itself is free and open source. Premium support is available separately and is highly recommended for production use.

What is included in the 6,000 EUR onboarding?

The 6,000 EUR is a one-time fee covering the mandatory 2-week onboarding engagement. The Salesforce configuration artefacts themselves are free. The engagement covers Sales Cloud, Service Cloud, and Experience Cloud setup and configuration of the customer's first use cases.

What infrastructure does Magnetforce require?
Customers provide a container runtime, PostgreSQL, and access to AI models. Infrastructure runs in the customer's chosen public cloud, private cloud, or private network environment. AI model usage is paid directly to the customer's chosen providers, with no extra platform tax.
PROOF & NEXT STEPS
Who already uses Magnet AI?

Magnet AI is used in production at organizations including Konecranes, GMC, Tet, and LIAA, supporting use cases such as technician Q&A, customer summarization, spare parts search, public information research, customer and employee chatbots, and structured evaluation of applications.

Can we see a demo before talking to sales?

Yes. A pre-recorded demo is available so you can see Magnetforce in action before any sales conversation. Use the See demo button anywhere on this page. No scheduling and no sales call required.

Book a Call with Us

Discover Magnetforce capabilities for IT Leaders
Juris Terauds - Co-founder and AI Lead