Atoti for Buy Side
The AI-Native Enterprise Risk Intelligence Platform for Asset Managers, Asset Owners and Hedge Funds
Real-time total portfolio intelligence. Built for AI agents, not retrofitted with AI features. No batch delays. No spreadsheet risk. Your IP, your LLM, your control.
Atoti for Buy Side unifies performance, risk, sensitivity and liquidity across every asset class and investment type. It gives your AI agents the real-time, deterministic context they need to act on it. Bring your own approved LLM. Keep your data, models and IP entirely under your control.
From Fragmented Data to AI-Native Total Portfolio Intelligence
Atoti for Buy Side is an AI-native enterprise risk intelligence platform built for asset managers, asset owners and hedge funds managing complex, multi-source, multi-asset portfolios across public and private markets. The Atoti Engine consolidates holdings, benchmarks, risk and liquidity into a single Total Portfolio view, in real time, tick by tick. On top of that engine, specialized AI agents, including those for auto-explanation, what-if analysis, rebalancing, hedging and limits monitoring, run with deterministic, domain-specific expertise on your firm's own approved LLM, with full audit and IP control.
Built for decision makers on the Buy Side
Portfolio Managers
Run analytics, construct and rebalance portfolios in real time. Ask Atoti Intelligence to show where you are over- or underweight against a benchmark, generate rebalancing strategies in plain language and compare scenarios side by side before execution.
Risk Managers
Monitor limits continuously across sectors, currencies and asset classes. When a breach is approaching, an agentic workflow detects it, runs scenario analysis on potential market impacts, and proposes remediation, collapsing what used to take hours of manual work across multiple systems into seconds, with a full audit trail.
Performance Analysts
See returns, risk-adjusted metrics and full attribution instantly. Monitor TWR, Monte Carlo, parametric and historical VaR with full drill-down. Auto-Explain, an AI skill in Atoti Intelligence, identifies the root cause of any move automatically in seconds.
Quants and Developers
Build portfolios on the fly on an open, extensible platform. Use the Atoti AI Agent SDK and MCP extensions to build custom AI-powered tools, connect external agents (Claude Desktop, your own agents) and plug Atoti directly into your firm’s broader AI stack, without lock-in.
CIOs and COOs
Eliminate shadow IT and spreadsheet risk. Replace fragmented workflows with governed, auditable enterprise analytics that scale. Bring your own approved LLM, choose your deployment (on-premise, cloud or fully managed) and keep proprietary data, models and IP entirely within your environment.
The Buy Side has an analytics problem. And it's getting worse.
Siloed systems for multiple asset classes, batch runs, and sprawling spreadsheet ecosystems create blind spots at exactly the moments when clarity matters most. The result is investment managers operating in the dark, and risk teams spending hours wrangling data instead of making decisions.
No single view across public and private investments.
Getting a consolidated picture is a manual, time-consuming exercise. By the time it’s ready, the market has moved.
Batch processing creates dangerous blind spots.
Overnight runs don’t reflect today’s reality. When conditions shift intraday, your analytics shouldn’t be twenty-four hours behind.
Fund-of-fund look-through takes hours, not seconds.
Expanding multi-layer fund structures and reaggregating across hierarchies delays critical investment decisions.
Spreadsheets introduce risk at every level.
Multiple versions, broken formulas and audit failures. Excel was never built for enterprise-wide, cross-asset risk consolidation.
AI tools lack the financial context to be genuinely useful.
Generic AI platforms can’t query live portfolio data or respect the governance requirements of institutional finance.
Most AI tools are retrofitted, not AI-native.
Generic AI platforms can’t query live portfolio data, can’t marry deterministic calculation with interpretive reasoning, and force you to send your IP to someone else’s LLM. AI agents are only as good as the platform they run on.
Atoti was built to solve these problems.
AI Agents Are Only as Good as the Platform They Run On
Financial institutions need a platform purpose-built for AI agents, not one retrofitted with AI features. Atoti for Buy Side is built on four principles that make AI agents genuinely useful for enterprise risk:
- Real-time risk intelligence. There is no substitute for a platform that gives AI agents a real-time, granular understanding of current risk positions and business conditions as they evolve, tick by tick. The Atoti Engine delivers that context.
- Open and extensible. Atoti connects seamlessly to your agents, LLMs and existing infrastructure without lock-in. Bring your own approved LLM. Build custom tools with the Extension SDK.
- Domain-specific deterministic expertise. Agents need a platform with deterministic, domain-specific skills, eliminating hallucination risk with precise, auditable outcomes. Atoti’s specialized risk, trading and regulatory agents are domain-trained, not general-purpose.
- IP protection as a first principle. Your proprietary data, models and algorithms remain entirely under your control and never leave your environment. You decide which LLM, on what infrastructure, in which regions, for which use cases.
From Hours to Seconds: Limits Breach Remediation
Intra-day, volatility spikes and a portfolio approaches a sector limit. In most firms today, what happens next plays out across multiple systems and teams over hours or days: a manual limits report flags the breach, a risk analyst pulls market news and internal research, runs scenario analysis offline, then takes action.
With Atoti Intelligence, the same workflow runs in seconds, inside a single source of risk. The Limits agentic workflow auto-detects the approaching breach. The Market Risk agent gathers internal research and current market context. The Scenario Analysis workflow generates potential tail-risk scenarios on live portfolio data. The agent presents remediation options with a full audit trail, and your portfolio manager decides, with the deterministic numbers and the qualitative context already in front of them.
This is what AI-native means in practice: real-time context, domain-specific agents and your own LLM, working together on data that never leaves your environment.
