Company / CompetitorEnterpriseEnriched

Infor

Infor is an enterprise software company that develops industry-specific cloud ERP and related business applications for sectors such as manufacturing, distribution, healthcare, and the public sector. The company delivers its products primarily via the Infor CloudSuite portfolio on AWS and embeds analytics and AI capabilities across its applications to support automation and decision-making.

📍 New York City, United StatesFounded 2002MixedWebsite →

Primary Focus

Enterprise Resource Planning (ERP)Industry-specific cloud software (CloudSuite)Supply chain managementHuman capital managementEnterprise asset management

Company Info

Private

Use Cases Mentioning Infor

energymulti-objective optimization

AI-driven multi-objective discovery of nanomaterials for EV supercapacitor electrodes

Use several AI models together to search through many possible nano-material designs and pick ones that make EV supercapacitors store more energy, last longer, and stay stable.

aerospace-defenseClosed-loop autonomous control and sequential decision-making under uncertainty

Real-time model-based reinforcement learning for autonomous UAV navigation

A drone learns on the fly how to move through its environment by using a built-in model to quickly test actions before taking them.

manufacturingsequential decision-making under uncertainty

Dynamic flexible job shop scheduling with online job arrivals

When new work orders keep showing up during the day, this workflow simulates the factory and uses scheduling logic to keep updating the plan.

manufacturingConstraint-based planning and rule-driven order generation

Mould-availability-driven liquid metal production order planning

Use available mould stock by date/code to decide when and how much same-grade liquid metal to melt, instead of planning melts in isolation.

energyregime-sensitive decision support with interpretable feature interaction analysis

Regime-aware allocation signals for clean-energy and ESG-sensitive portfolios

The AI learns that in calm markets sustainability scores matter more, but in stressful markets news mood matters more, helping portfolio managers shift what they trust.

energyreal-time control optimization

Hybrid fuzzy + reinforcement learning power coordination for EV battery-supercapacitor HESS

An AI controller decides in real time how much work should be done by the battery versus the supercapacitor in an electric vehicle, so the battery gets less stressed during sudden power spikes.

energyWorkflow orchestration

Integrated utility work-to-finance and field execution workflow

When a utility plans a job, this setup can connect the job to purchasing, inventory, accounting, and the crew that actually does the work.

aerospace-defenseBiological inference from sequence and fitness signals to structural hypotheses.

Protein structure inference from sequence and fitness data

The toolkit can work from protein sequence and fitness information to infer structures, helping researchers study targets even when experimental structures are limited.

energysequential decision-making under adversarial uncertainty

Online reinforcement learning control for tidal turbine systems under zero-sum disturbances

An AI controller learns in real time how to adjust a tidal turbine so it keeps working well even when ocean conditions act like an opponent trying to reduce performance.

energymulti-agent sequential decision-making under economic incentives

Multi-microgrid peer-to-peer energy trading optimization

AI helps neighboring microgrids decide who should buy or sell electricity to each other and at what price, so less energy is wasted and local power is used more efficiently.

consumer-retailSequential decision optimization under uncertainty

Reinforcement-learning inventory replenishment and fulfilment for omnichannel retail

An AI system learns how much stock to send to stores and how to fulfill orders over time so the retailer makes more money while handling online pickup and ship-from-store choices.

consumercross-modal consistency checking

Cross-modal inconsistency detection for misinformation triage

The AI looks for cases where the picture, video, and caption do not match, which can be a clue that a post is misleading.

manufacturingidentity-linked profile matching for authorization

Operator qualification verification using HR talent profiles during shop-floor check-in

When a worker logs into a station and picks a job, the system checks their HR skill profile to make sure they’re approved for that exact task.

pharmaceuticalsbiotechpredictive risk-outcome modeling

Exposure-response modeling for tarlatamab dose selection in advanced SCLC

Researchers used patient drug-level data and outcomes to figure out which tarlatamab dose gives the best chance of helping small cell lung cancer patients while keeping risks acceptable.

energydecision support

Utility EAM + MDM decision-support modernization

Utilities keep asset, maintenance, and inventory information in many systems. This partnership combines asset-management consulting with master-data tools so companies can clean up that information and make better operating decisions.

entertainmentMultimodal classification and evidence fusion for credibility scoring

Multimodal credibility assessment for user-generated content on digital platforms

An AI system checks posts, videos, images, and related signals together to estimate whether online user content is trustworthy.

constructionentity-centric record linkage

Location- and asset-linked warranty coverage tracking for installed equipment

The system keeps a detailed card for each warranted piece of equipment, including where it is, what it is, who covers it, and how to contact them.

energydecision support

AI-assisted spare parts and compliance planning from maintenance diagnostics

When AI figures out what is likely wrong, it can help managers make sure the right parts are available and required rules are followed.

manufacturingworkflow orchestration

Interactive vs concurrent job scheduling execution for discrete job creation

The system offers two ways to run scheduling when creating jobs: one for a few jobs where you wait, and one for many jobs where scheduling runs in the background.