Vertical + Enterprise · Public company · Deployment
IBM
✓ VerifiedIBM is positioning Granite and watsonx as a governed enterprise AI stack for large organizations that care as much about control, compliance, and hybrid deployment as raw benchmark leadership.
Editorial intelligence brief
What matters now
IBM's current public model story has moved to Granite 4.0, while Granite 3.3 remains active for speech and refined reasoning workflows.
Focus: Enterprise AI stacks built around Granite models, watsonx, and regulated workloads
Latest funding
Not tracked
No structured event
Tracked funding
Not tracked
No structured events
Latest valuation
Not tracked
No source-backed record
Latest revenue
Not tracked
Deployment lifecycle position
Source-backed financial history
Capital and commercial trajectory
Funding, valuation, revenue, and debt are kept separate so unlike measurements are never presented as one trend.
A structured financial history has not been completed for IBM.
The profile will not manufacture a trend from incomplete or unsourced figures. Each amount must be dated, typed, and linked to public evidence first.
Chronological activity
What changed
IBM's current public model story has moved to Granite 4.0, while Granite 3.3 remains active for speech and refined reasoning workflows.
A structured event record is still being assembled for this company.
Recent coverage of IBM
Consolidated by storyIBM and Google Cloud Announce Strategic Partnership to Scale AI with Human Expertise and AI‑Powered Delivery
IBM Newsroom · Jun 4
Introducing IBM Bob: AI Development Partner that Takes Enterprises from AI-Assisted Coding to Production-Ready Software
IBM Newsroom · Apr 28
IBM ushers in new era of Enterprise AI by launching Agentic AI Innovation Center in Bengaluru
IBM · Jul 16
Product surface
Products and model families
Recent models
Products
Open weights
Yes
API access
Yes
Review cadence
Weekdays
Market position
Lifecycle and strategic signals
Research
Preview
Growth
Deployment
Deployment: Production & at scale
Focus
Enterprise AI stacks built around Granite models, watsonx, and regulated workloads
Signals
Taxonomy
Competitive context
Infrastructure & distribution
Where IBM sits in the AI stack
Model layer
3 tracked model families
Access layer
Managed API + self-hostable weights
Market layer
Vertical + Enterprise
Public product surface
Stack signals
This section reflects publicly visible product and access signals. Undisclosed GPU, cloud, training, and data-center contracts are not inferred.
Evidence trail
Sources and corrections
Primary and public sources used to verify the structured company profile.
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