• AI² Investment ControlOS

    Powered by Frida: A unified decision control system that governs how investment decisions are made through enforceable risk and policy constraints; keeping portfolios inside your rules across all market conditions.

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AI² Investment Control Operating System

Acumentica’s AI² Investment ControlOS operates as a unified investment control plane designed for institutional decision-making.

The system brings together predictive market intelligence, portfolio optimization, and decision governance into a single, coordinated framework. Rather than treating forecasting, optimization, and risk as separate tools, Acumentica governs how they interact; ensuring decisions are evaluated and executed within explicit risk, policy, and mandate constraints.

FRIDA acts as supervisory intelligence over the system. It does not execute trades.
Instead, it governs objectives, risk posture, and constraint enforcement; so investment strategies remain disciplined, explainable, and aligned with intent across all market conditions.

The result is an investment operating system that transforms insight into controlled, risk-aware action, keeping strategies inside the rules—especially when markets change.

Our Capabilities at a glance

From Signals to Decisions. Modular Control Stack. Intelligence feeds the system. Control governs the decision.

Modern investment failures rarely come from lack of insight. They come from rule violations under pressure.

Acumentica was built to prevent that failure mode by embedding enforceable constraints directly into the investment decision process; not as an after the fact risk check.

The system operates as a continuous control loop:

Sense → Signals → Control → Adapt

Each layer serves a distinct role and is governed by explicit rules.

Choose only the modules you need. Activate the full stack when ready.

Control

Evaluate conditions. Govern decisions. Maintain discipline.

The system continuously evaluates market and regime conditions, applies portfolio optimization within explicit risk and mandate constraints, and adjusts decisions through closed-loop feedback; so capital allocation remains disciplined as conditions change.

Investment ControlOS

A governable, explainable, feedback-driven operating system that decides how capital should be behave under uncertainty.

Neuro Precision AI

Design, govern, and execute data-driven strategies using neuro AI agents that optimize decisions, enforce constraints, and act within your portfolio’s control framework.

OptimizerOS

Optimize asset allocation for maximum returns and minimal risk. Maximizes gains with controlled exposure.

PrescriptOS

Get actionable research paths, and recommendation while aligning with your risk profile and goals.

Adapt

Learning & Adaptive feedback
Allows the system to adjust decisions and constraints as market conditions and outcomes evolve.

Closed-loop feedback

A feedback mechanism that updates state estimates, risk models, and control policies through continuous outcome-based evaluation.

Signals

Market Measurement & Estimation
Quantifies market state, risk, and forward dynamics to inform disciplined decisions.

PredictOS

Forecast stock prices and trends with high-efficacy. AI models trained on vast dataset, reducing missed gains in 2026 volatility.

BreakoutOS

Identifies and predicts high-potential moves ahead, turning technical trends into profitable, low-effort trades. Detect breakout stocks early with anomaly detection AI.

ValuCoreOS

Ensure accurate long-term valuations, supporting stable growth amid economic shifts.

TechSignalOS

Identifies high-potential moves ahead, turning technical trends into profitable, low-effort trades.

Sense

Market Sense & Context
Provides real-time awareness of market conditions and regimes that shape how decisions should be made.

MacroOS

Integrate global economic factors into your investment decisions. Visualize big-picture resilience, aiding diversified strategies in 2026 economic landscape.

NewsSignalOS

Analyze real-time news for sentiment impact on market movements.

SocialSignalOS

Leverage real-time social trends to predict public/institutional moods, volatility and opportunities.

GTM

Anticipate and govern customer growth, market momentum, and competitive pressure in real time –  before they appear in financial results.

What Makes Us Different?

Built for Decision Control, Not Just Analytics.



Your Investment GROWTH Is Our Success

Built For Control

Acumentica was not designed as a feature-driven investment platform.

It was engineered as decision infrastructure.

Control architecture first

The system is built around continuous feedback, policy enforcement, and governed decision flow; not dashboards or signals.

Governance separated from execution

Supervisory intelligence (Neuro Precision AI) governs objectives and constraints, while deterministic engines execute decisions.

Closed-loop by design

Market outcomes feed directly back into state estimation and policy adjustment. Nothing operates in isolation.

Explainable and auditable

Every decision, constraint, and outcome is traceable and defensible — by design, not by after-the-fact reporting.

This is not incremental improvement. It is architectural differentiation.

Decision Control System

Acumentica is engineered as a decision control system; not an analytics or insight platform.

It governs how investment decisions are made by:

Continuously estimating market state across multiple signals

The system fuses technical, macro, fundamental, event, and sentiment inputs into a unified, continuously updated market state that decisions are based on; not isolated indicators.

Enforcing policy, risk, and mandate constraints at decision time

All portfolio actions are evaluated and constrained in real time against explicit risk limits, mandates, and governance rules before any decision is allowed to proceed.

Actuating portfolio changes deterministically

Approved decisions are executed through deterministic optimization engines that translate intent into precise portfolio actions without opaque or autonomous AI execution.

Adapting decisions through closed-loop feedback

Market outcomes are fed back into the system to update state estimates and control parameters, allowing decision policies to adapt over time based on real-world results.

Every decision is controlled, traceable, and accountable by design.

Control Plane Architecture

  • Not just analytics; an enforceable policy layer that governs portfolio decisions end-to-end.
  • It approves / blocks / resizes / de-risks recommendations against your mandate before anything is acted on externally.

Constraint-First Decision Governance

Recommendations are generated inside policy guardrails—no “optimize first, then check.”
Controls include sector/factor caps, max drawdown (path risk), tail risk, liquidity limits, and shorting/leverage rules.

Agentive Oversight

Always-on agents monitor regimes and events, detect exceptions, and generate playbooks (de-risk, hedge suggestion, rebalance targets, stand-down) with full rationale.

Key Benefits Of Our AI² Investment ControlOS

  • Govern Risk Proactively

    VaR/CVaR + stress constraints guard the portfolio under volatility.

  • Explain Every Action

    Audit-ready lineage from data → rule → decision.

  • Limit Drawdowns

    Enforce drawdown rules and de-risk triggers before losses compound.

  • Reduce “Human Drift”

    Prescriptive analytics for informed decision-making.

  • Scale Across Portfolios

    One control framework for multiple accounts, strategies, and mandates.

Business Intelligence

How Our AI² Investment ControlOS Works

Investment Control PrecisionOS doesn’t try to produce “more signals.”
It governs whether action is allowed using real-time risk, regime, and constraint intelligence.

We bring together portfolio science, risk modeling, and AI to:

  • Ingest multi-signal inputs (price, fundamentals, macro, sentiment, events)

  • Detect regimes and risk conditions (volatility, correlation, liquidity, tail risk)

  • Apply enforceable constraints (exposure caps, drawdown/path risk, liquidity limits, shorting/leverage rules)

  • Output policy-gated recommendations with full rationale: trigger → rule → decision → action

Built with modern AI and quantitative methods, including machine learning, deep learning, NLP, stochastic modeling, and robust optimization—focused on decision governance, not trade execution.

Our 3 Step Process is Super Quick And Easy!

Set Your Goals

Define your portfolio rules and constraints (exposure, drawdown, liquidity, leverage, goals).

Get Policy-Gated Recomnedations

The system evaluates signals, regimes, and event risk to produce compliant actions with rationale.

Monitor And Improve

Track constraint health, risk posture, and decision outcomes in a real-time control dashboard.

We Solve The Hardest Problem In Investing: Keeping Alpha While Staying Inside the Guardrails

Catalyze forward from gaining insights to achieving CONTROL

Can we pursue growth without
violating exposure constraints?
What is the future price of a stock?
Curious To Learn About Your Next
Investment?
When should I buy and sell?
What is my ROI going to be?

What assets should I invest in?
What should we stand down from and for
how long?
What factors are affecting our portfolio?
Did the market regime change and should our controls tighten ?
Where is our portfolio most vulnerable to tail risk?

AGI Investment Research Labs

Where Investment Ideas Shape Tomorrow.

Ready to Govern Your Capital?

Acumentica’s AI² Investment Control Operating System transforms insight into controlled, risk-aware action; keeping strategies inside your guardrails when markets change.

Limit drawdowns. Govern risk proactively. Preserve conviction. Scale across mandates.