Intelligence is only as good as the data beneath it.
AX3 builds the data foundations and agentic AI capabilities that let enterprises move from experiments to intelligence embedded in daily operations.
Explore your AI opportunityNeed this delivered by engineers embedded directly in your environment? See AI FDE → For data pipelines and platform work, see Data FDE →
Building the data layer itself — pipelines, lakehouse platforms, governance and analytics? See Data & Analytics →
Need to hire for this? Hire a data engineer → Hire an AI/ML engineer → or browse the Skills & Roles Directory.
Agentic AI
Agentforce and custom agents grounded in trusted enterprise data, with defined actions, guardrails and human escalation.
AI Automation
Document intelligence, workflow automation and decision support applied to the processes that cost the most.
Predictive Intelligence
Forecasting, propensity, risk and reliability models embedded in operational systems, not dashboards.
Data 360
Identity resolution and unified profiles that make personalization and AI possible across the enterprise.
Data Engineering
Streaming and batch pipelines, lakehouse architecture and governed data products.
Analytics & Decision Intelligence
Embedded analytics tied to the workflows where decisions actually get made.
AI Governance
Model inventory, evaluation, monitoring, access control and auditability for regulated environments.
MLOps & Platform
Deployment, observability and lifecycle management for models and agents in production.
AI agents designed around industry workflows.
CPG & Retail
Financial Services
Manufacturing
Semiconductor & OSAT
EV & Mobility
Automotive
Healthcare & Life Sciences
Energy & Utilities
Logistics & Supply Chain
Travel, Transportation & Hospitality
Telecommunications, Media & Technology
Enterprise AI and data — questions we are asked
Where should an enterprise AI program start?
Start with a single high-cost workflow and the data required to run it well. Ground an agent or model in that governed data, then extend once the operating pattern is proven.
Do we need a data platform before deploying AI agents?
Not a complete one. You need trusted data for the specific decisions the agent makes — identity resolution, product and account data, and the transactional history behind the workflow.
How does AX3 handle AI governance?
Model and agent inventory, evaluation sets, monitoring, access control and auditability are built into delivery, which matters most in regulated industries.
Does AX3 work with Agentforce and Data 360?
Yes. AX3 delivers Agentforce agents and Data 360 unification alongside custom models, pipelines and MLOps where the enterprise estate requires it.
Put AI where the work happens.
AX3 grounds AI in governed enterprise data and deploys it inside real industry workflows.
AI and data insights
OSAT Opportunities in India
India is adding outsourced assembly and test capacity at pace. The commercial opportunity is real, and so are the talent and delivery gaps that decide which sites reach yield on schedule.
Read articleAI Consulting: Getting From Pilot to Production
The hard part of enterprise AI is not the model. It is evaluation, data access, human escalation and the operating cost of running the thing every day.
Read articleHow Agentforce Is Changing Manufacturing Service
Agentic AI is moving from pilot demonstrations into real manufacturing service operations. The gap between the two is data readiness, not model quality.
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