We Provide Decision Intelligence For Consumer Facing Enterprises

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Our Approach

At Agenscience, we aim to optimize, automate and enable your processes outperform current trends.

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Risk-Aware Decision Agents

All decisions are made in the context of quantified downside and upside risk, allowing users to control risk tolerance of agentic decisions.

Open Box Transparency

All source code including data filtering, machine-learning algorithms, and model weights provided -- no hidden assumptions or IP

Simultaneous Optimization

Multi-variate optimization techniques are utilized to orchestrate decisions for maximal value. For example, pricing, product assortments, and inventory-fulfillment decisions are optimized wholistically, not in artificially constrained decision siloes.

Self-Tuning and Automated

Models automatically correct and adjust as new data reflects changing demand dynamics and evolving decision spaces. Constrained decision timeseries are monitored to alert users to evolving patterns of business rule impacts and potential tuning opportunities.

Feature illustration
Feature illustration

LLM Chat Interface

Explainability is built in with a RAG-augmented chat interface. Reasons for why a decision was made are always available to users.

Fast Financial Results

Deployment consists of 6-8 week sprints to measurable financial value. Immediate value realization is the lodestar.

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Solution Matrix

Solution Matrix
Solution Matrix

Get Started

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