Introducing C3 Code.
Describe an Enterprise AI application in plain English. Autonomous coding agents build and deploy it, no human coding input required.
This is AI designing and building Enterprise AI.
Read more: https://t.co/XYWB2i4Y48
#C3Code#ThisIsEnterpriseAI
Announced today: under a new multi-year agreement, C3 AI and @Shell are taking their predictive maintenance program into agentic root cause analysis, running on the C3 Agentic AI Platform and @Azure.
Read the release: https://t.co/tVIHbXIYm0
Static planning tools can’t keep pace with demand volatility.
C3 AI Demand Forecasting treats forecasting as a live system, not a periodic batch job.
Learn how: https://t.co/GxjPiYeL8r
The C3 Agentic AI Platform ships with prebuilt canonical models for the data standards regulated industries already operate against.
Integration timelines compress from quarters to weeks.
Inside the canonical models: https://t.co/ueH818k0BF
Federal health agencies have the data. Enterprise AI builds the foundation to act on it.
We joined @Carahsoft for a webinar on modernizing public health. Read the recap blog: https://t.co/g5VXvDpjNh
The C3 Agentic AI Platform integrates real-time data streams natively. Apache Kafka, AWS Kinesis, and Azure Event Hubs feed structured and unstructured events into the same federated data image that powers the rest (cont) https://t.co/OM8g7Ptr0R
S&OP and S&OE were designed as periodic planning cycles. Quarterly plans, monthly rebalances, weekly tactical updates. The pace of disruption no longer respects that cadence.
C3 AI Supply Chain Orchestration replaces (cont) https://t.co/1qNIKEBIW5
Enterprise data spreads across hundreds of systems, formats, and clouds. The C3 Agentic AI Platform unifies access across the systems enterprises already run, leveraging existing data investments rather than replacing them.
Inside the integration layer → https://t.co/OW34skl1X7
The C3 AI MCP Gateway extends MCP beyond tool access.
It centralizes tool registration, governance, and agent instructions, enabling coding agents to discover the right tools and execute workflows with enterprise context.
Read the blog: https://t.co/wk6Mwr2r1N
In 2019, @bakerhughesco piloted AI-powered sourcing at three sites. The deployment now spans 800+ sites and 900K SKUs, with millions delivered in savings.
Go inside the deployment: https://t.co/6hT0jccElz
In process manufacturing, performance is shaped in the setpoints.
C3 AI Process Optimization analyzes live process conditions and recommends adjustments that improve yield, reduce off-spec product, and lower energy (cont) https://t.co/0wESXlsg5v
Introducing: Narwhal, a specialized model trained on our codebase. It's outperforming frontier models on our internal benchmark while running leaner and faster.
Lessons from five generations of development on our blog: https://t.co/Ci95Bgb0Ob
Agentic AI turns disruption response into an executable workflow.
C3 AI Supply Chain Orchestration uses AI agents to analyze signals, identify constraint conflicts, simulate response paths, and coordinate decisions (cont) https://t.co/fTICyQMYyD
Getting @DeptofWar customers to AI value fast means clearing a security and compliance gauntlet that typically takes 1–2 years.
SMX and C3 AI did it in under 60 days.
Hear from SMX EVP Rob Groat on what made it possible: https://t.co/4JW7PDbdDp
Behind every property valuation is a complex web of records, inspections, zoning data, and documentation often scattered across disconnected systems.
Our latest blog shows how AI-driven document intelligence accelerates (cont) https://t.co/dN4CvbMixo
CHARM, our foundation model for time-series embeddings, has placed #1 on the TSB-AD multivariate leaderboard — the most rigorous public benchmark for time-series anomaly detection.
Learn more about CHARM: https://t.co/5bNXpHgiSD
Benchmark results: https://t.co/oMWtc0vsOT
In a recent interview with @MeriTalk, C3 AI CTO of Data Science Nikhil Krishnan explains what separates AI experimentation from AI that augments government operations.
The path starts with the mission, not the model.
Read Nikhil's full interview: https://t.co/WaBuihysIk
@Flint_Hills_ is using C3 AI to connect industrial data across refinery operations.
The result: demonstrated gains in speed to resolution for asset health events.
Jonathan Fuehrer, Base Operations Reliability Manager at FHR, explains how.
In our latest Enterprise AI Spotlight, Nikhil Krishnan, SVP & CTO, Data Science at C3 AI, shares where agentic AI is creating value across the enterprise, from coding agents to process automation.
Watch here: https://t.co/5QMck2nz32
Geopolitical volatility is rewriting airline fuel sourcing strategies in real time.
C3 AI Sourcing Optimization + C3 Code = a production-grade app for fuel procurement. This came together in under 30 hours of synchronous work.
Learn more: https://t.co/KgX9JDznD4
The cities that lead tomorrow will be the ones that use AI today to make transportation systems safer, smarter, and more responsive.
@seattledot is partnering with C3 AI to make it happen.