IT Services and Solutions for Institutional Investors

Enterprise-grade platforms used to handle front-to-back investment operations, from research to disclosures. Such systems automate portfolio design, exposure tracking, order staging, pre/post trade compliance, trade analytics, accounting, and reporting. They comprise an IBOR for intraday decision data and an ABOR for official books/NAV, with full audit trails across digital operations.

Institutional investors use such software to construct and rebalance multi-asset portfolios based on investment mandates, risk constraints, and asset allocation targets. The solution tracks positions across asset classes, monitors weights and emerging exposures, generates rebalance proposals (with TCA and compliance pre-checks) and routes approved orders for execution.

Solutions that automate investment order creation and routing for execution to the connected brokers and venues. They handle pre-trade order risk and compliance checks and capture transaction details for post-trade settlement, T+0 affirmation, and transaction cost analysis. Investment teams can configure custom rules for order pooling, routing, and validation against entity-specific best execution policies.

Software that lets institutional traders screen target assets, execute trades, and track fills in real time. Such systems connect to chosen brokers, trading venues, and crossing networks via standard protocols (e.g., FIX) for automated order submission and settlement coordination. They can support high-touch trades and algorithmic executions using broker or proprietary algos and tailored rules.

Software aimed to automate ABOR maintenance, trade reconciliation, and financial reporting. It handles multi-currency calculations, accrual accounting, and expense allocations across fund structures and asset classes. Custom systems can be designed to comply with US GAAP, IFRS, and other jurisdiction-specific accounting frameworks.

All-in-one software that streamlines the management of institutional fund structures, share classes, co-investment workflows, and shareholder registries across fund vehicles. It automates member and partner onboarding, subscription and redemption tracking, fund accounting, and cap table operations. Custom systems can include prospect discovery and networking features.

Solutions that automatically aggregate asset-specific data (market, fundamental, quant, sentiment, etc.) from the entity’s internal and third-party sources. Custom tools can include screening and ESG scoring capabilities, sector/peer benchmarking features, and tailored multi-factor modeling frameworks for evaluating investment opportunities and performing due diligence.

Software used to manage private market deal flows from sourcing to closing. Users can track key terms, valuations, and investment committee decisions across deal pipeline stages. The system stores due diligence materials and maintains historical records of investment opportunities and outcomes. Confidential deal data can be securely shared via virtual data rooms (VDRs).

Software used to monitor the compliance of investment activities against the entity’s internal policies (asset restrictions, trading limits, venue choices, etc.), investment eligibility constraints (e.g., AML/OFAC requirements), and regulatory mandates (SEC Rule 13f-2, the Advisers Act, the Volcker Rule, and more). The solution automatically identifies and reports compliance violations.

Such solutions analyze the entity’s investment, financial, and risk data, compute and report chosen metrics, and produce predictive insights for strategic and tactical decision-making. Custom systems can be designed to automate niche tasks like performance attribution analysis, Rule 22e‑4 liquidity risk analytics, and portfolio stress testing under CCAR/DFAST frameworks.

Scalable enterprise platforms that consolidate data from the entity’s internal systems, custodian and fund administrator systems, and market data platforms into a centralized repository. The system normalizes data formats, validates accuracy, and maintains golden copy records and audit-ready lineage for positions, pricing, and reference data.

Solutions used for organizing and storing institutional investment documents. Users can quickly retrieve the necessary documents through metadata tags, full-text search capabilities, and criteria-based repository navigation. The software automates document version control and enables file-level access permissions.

A front-office digital workspace for managing investor and counterparty relationships across fundraising and servicing. The system tracks meetings, commitment pipelines, RFP, RFI, and DDQ workflows, NDAs, side letters, and investors’ communication preferences. It maintains detailed counterparty profiles, automates KYC/AML checks, and enforces marketing rule recordkeeping.

With such software, institutional investors can automatically generate tailored portfolio performance reports, capital account summaries, quarterly statements, fund fact sheets, and tax forms (e.g., K-1 packages for limited partners). The solution enables report auto-localization, conversion to the chosen format, and scheduled distribution through secure delivery channels.

Self-service online platforms for fund owners and partners to monitor portfolio holdings and capital activity, access investment documents and reports, confirm capital calls, and communicate with investment managers. Custom portals can be integrated with portfolio and accounting systems to automatically collect investment data and introduce real-time reporting options.

Such components apply various types of artificial intelligence (AI) models, including traditional machine learning and generative AI, to process large investment datasets in real time, recognize patterns across disparate data, capture market signals and sentiment trends, forecast investment performance and risks, and provide smart suggestions on investment optimization. GenAI engines can summarize research and analytical insights and compose tailored reports.

Smart assistants powered by large language models (LLMs) that can respond to textual and voice user search inquiries in regular human language. Such tools connect to the institution’s knowledge bases via retrieval augmented generation (RAG) to provide context-aware responses in the requested format with lineage to source data. Deployed with PII controls, human governance, and archiving to satisfy operational regulations and data protection standards.

Solutions that rely on image analysis and generative AI technologies to automatically extract data from multi-format investment documents. They vet document contents for accuracy and auto-populate the entity’s databases with parsed information. GenAI copilots can be employed to draft non-standard investment documents and investor memos. Intelligent algorithms continuously learn from user corrections to improve processing quality.

Next-gen AI solutions that orchestrate and automate end-to-end, judgement-heavy institutional investment operations, such as analytics-based portfolio rebalancing, data-driven trade placement, and resolution of investor issues. They can self-collect contextual data from internal and third-party sources and trigger automation across task-relevant systems. Such agents can be designed to function autonomously with rule-based guardrails or with human oversight.

Permissioned multi-party systems that handle the execution and immutable recordkeeping of investment operations, with enterprise-grade compliance controls and connectivity to off-chain transfer agent registries. Smart contracts can automate multi-step workflows like KYC/AML and sanctions checks, deal opening, trade ordering, and settlement. Asset tokenization solutions let institutional investors represent the fractions of fund or pool shares as liquid crypto tokens.