Enterprise Decision Infrastructure
Aera’s technology turns business challenges into intelligent, automated decisions and captures how each decision is made. A business challenge quickly becomes a working decision skill ready to be deployed. Every skill understands your business, makes real-time recommendations, acts within your policy guardrails, and learns and improves from every outcome.
Recognized by Gartner and IDC, Aera is a leader in the decision intelligence platform category, bringing together the critical capabilities needed to augment and automate decisions across the enterprise.
Automating decision-making at scale requires that it be repeatable, governed, continuously learning, maintainable, and efficient to run. Aera is built to meet those requirements across decisions, business functions, and levels of autonomy.
Aera works across your data, analytics, AI/ML, and business applications, connecting to these systems to model, execute, monitor, and govern decisions across the enterprise.
What differentiates Aera's technology
Aera brings together everything needed to automate enterprise decisions into one decision infrastructure: the live state of your business, the engines that compute recommendations, the record of past decisions, and the policies that govern them. Aera applies agentic reasoning to the steps that need judgment and deterministic logic to the steps that need precision. Each outcome flows back into the decision record and sharpens the next decision.
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Operationalize rapidly
Securely compose, deploy, and maintain Aera Skills™ quickly, with governance and transparency built in.
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Enterprise-wide scale
Automate any type of decision, from advised to assisted to fully automated, across business functions and complex global enterprises.
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Easy adoption
Intuitive, natural-language experiences make it easy for business users to adopt Aera, build skills, and integrate decision intelligence into their daily work.
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Fast time to value
Deliver measurable outcomes from day one and expand value as decision automation scales.
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Governed execution and continuous learning
Enforce policies before execution, capture every decision and its outcome, and continuously learn to improve future decisions and recommend policy updates.
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Model-agnostic and token-efficient
Connect to the LLMs of your choice and optionally map models to specific agents. Aera governs token usage and shifts repeatable steps to deterministic logic, helping decision processes use LLMs selectively and efficiently.
The core components of Aera’s technology
Agentic Ambient Intelligence sits at the core. It draws on Data Cache for the live state of your business and calls the right Decision Engines for each decision. Dynamic Engagement connects people and agents to those decisions, and Decision Governance applies your policies and authority throughout execution.
Agentic Ambient Intelligence
Aera's Agentic Ambient Intelligence runs continuously in the background. It knows how your enterprise runs, what you’re working on, and which decisions have already been made. The moment a situation demands attention, it reasons across your environment, recommends an action, and executes within the authority and autonomy you set, involving people when judgment or approval is required.
When a situation arises, Aera pulls in the data, engines, and agents it needs. It reasons to a decision and hands off to a person when judgment is needed.
Aera writes each action back to your systems within the autonomy you set. It then measures the outcome against the expected impact.
Operational memory holds the facts, preferences, and constraints about you and your business. Decision memory holds every decision with its context, actions, and impact. Aera weights both by importance and recency.
Aera captures each decision, its context, and its outcome, continuously learning to inform the next recommendation. So recommendations sharpen as the decision record grows.
Configure and manage secure connections to the large language models of your choice, map them to agents by role, and govern usage with granular token budgets.
Data Cache
Data Cache pulls the data each decision needs from the systems you already run and from outside sources, and harmonizes it into a live view of your business. Data becomes usable as each source connects, so decisions start on day one.
Transaction, planning, and analytics data, unstructured data, IoT signals, and external events flow in continuously, so every decision runs on current data.
Aera brings data in through 200+ prebuilt connectors for systems such as SAP, Oracle, Salesforce, and SharePoint, plus patented crawlers and event streams. Writeback carries decisions out.
Aera validates, cleanses, and normalizes data before use, tracks lineage, and applies role-based and row-level access before any data reaches reasoning.
Decision Engines
Seven decision engines are built into Aera and support every type of decision, from advised to assisted to fully automated. Several engines work on any given decision, and agents and flows can call any of them.
Build agents and agent teams in natural language. Function agents run deterministic logic, LLM agents reason, autonomous agents work through multiple steps, and RAG agents connect with your documents.
Aera automates feature engineering, model selection, and tuning, so ML models are built in minutes. Deploy them in one click, with the infrastructure already in place.
Every recommendation shows the figures behind it, and any number drills down to the data it was computed from.
Get accurate time-series forecasts across thousands of grains, with hierarchical forecasting, overrides, and outside data such as weather built in.
Build plans in a multi-dimensional model on live data with an Excel-like formula builder. Compare strategies side by side and trigger actions from the result.
The built-in optimizer finds the best feasible plan when constraints conflict. You can also run CPLEX, NVIDIA cuOpt, or open solvers on your own license.
Model a decision as a visual flow. Each node is a step: a data view, a rule, an engine, or an agent. Version control and rollback are built in.
Dynamic Engagement
Dynamic Engagement lets you and the agents you run interact with Aera through an intuitive, natural-language interface. Access it via chat, voice, and desktop, or programmatically through open agent standards. Explore insights, get timely guidance, and take action.
Receive prescriptive, explainable recommendations in real time, ranked by urgency and impact. Weigh their context and trade-offs, comment as a team, and accept, modify, or reject each one.
Ask open-ended questions and get explainable, personalized answers with dynamic visualizations. Explore the data behind each answer and act on it in the same conversation.
Each team runs its Skills from a shared, secure space, with the decisions, the measures behind them, and the conversation side by side. Analyze data, run simulations, and publish insights and Skills.
Describe a business challenge in plain language. Aera plans the Skill, builds it with you in hours, and shapes the experience to each user's role.
Your agents and assistants, like those built in Microsoft Copilot Studio, connect to Aera through A2A and MCP, and Aera can delegate tasks back to them. Your systems access Aera programmatically through APIs.
Decision Governance
Decisions run within your policy and on your terms. Every automated action traces back to the authority you granted and the autonomy you set, so you have full observability of the decisions and their impact. Command Center brings it together in one place: Skill Performance, Decision Ledger, and Policy Studio.
Monitor the activity, performance, and business impact of every Skill across the enterprise. Tune decision logic and raise autonomy as decisions earn trust.
Decision Ledger keeps a persistent, traceable record of every decision made in Aera, with its business context, reasoning, policies evaluated, actions, and outcome. It preserves institutional knowledge, supports audit and review, and helps improve future decisions.
Turn enterprise policies into rules that govern decisions as they're made. Test them against live decisions to catch potential violations before enforcement, then apply them consistently across decision types. Every evaluation is recorded in Decision Ledger as evidence of how each decision was governed.