Investment Research (Public), Predictive Analytics
Portfolio Management, Investment Research / Deal Sourcing
0
Reflexivity monitors market and fundamental data in real-time, providing timely investment insights. It allows users to test their intuition against data at high speed. Reflexivity offers a suite of award-winning analytic tools wrapped in an accessible, natural language-based UX, ensuring that your strategic decisions are backed by robust data analytics.
NY
USA
2019
HF |
Approximately 47 employees
$30M
Series B
Tue Oct 01 2024 00:00:00 GMT+0100 (British Summer Time)
Investment Research (Public), Predictive Analytics, Alternative Data Generation
Portfolio Management, Risk Management, Trading, Investment Research / Deal Sourcing
0
Transparently AI is an AI solution designed for early detection of accounting manipulation and fraud. It provides highly accurate accounting risk scores globally using its proprietary Manipulation Risk Analyzer. This system processes millions of data points with 150 factor models in 14 risk clusters to assess the probability of accounting fraud leading to corporate collapse. The service generates precise risk reports within seconds, offering actionable insights through ratings, risk scores, and detailed company reports.
Singapore
Singapore
2021
HF |
Approximately 12 employees
$3M
Series A
Feb 2024
$4M
Starter: starting at US$499/month, one seat; Professional: custom subscriptions based on your needs
Documents Processing, Investment Research (Public), Investment Research (Private)
Company Due Diligence, Investment Research / Deal Sourcing
0
Daloopa provides automated financial data extraction and modeling services. The platform uses AI to capture and validate financial information from sources such as SEC filings and earnings reports, reducing manual efforts and minimizing errors. Key services include automated table extraction, historical data tracking, real-time updates, API integration, dynamic scenario analysis, automated data validation, and advanced analytics. Daloopa enhances valuation methods like DCF models, comparable company analysis, and precedent transaction analysis by automating data collection and providing real-time insights. The platform’s automated workflow capabilities and robust reporting tools improve efficiency and accuracy in financial modeling and analysis.
NY
USA
2019
HF | PM
Approximately 200 employees
$18M
Series B
May 2024
$41.4M
**SOC2** certified. See for further information [here](https://docs.daloopa.com/docs/compliance-and-security).
Documents Processing, Conducting Due Diligence, Memos and Reports Creation, Monitoring Portfolio Companies
Portfolio Management, Company Due Diligence
0
Lumonic has developed a management platform designed to automate reporting and compliance for private equity and private credit.
The company’s platform offers features such as tracking reporting requirements in a secure portal for borrowers, delegating data collection, reviewing and submitting data and portfolio management, enabling firms and organizations to manage hassle-free data collection.
Lumonic’s services are tailored to streamline operations and enhance decision-making processes for their clients.
PitchBook (a subsidiary of Morningstar) acquired Lumonic in March 2025
ipushpull specialises in real-time trading data sharing and workflow automation through the trade lifecycle with their no-code configurable platform. Used across sell-side, buy-side, and front-to-back office.
Use cases:
**Trade Capture & Booking:**
Automate capture and input of trade confirmations from chat, emails and all other sources.
Automate enrichment and booking of trades to your deal management platform.
Automate reporting of trades for compliance and best execution.
**Quote Hub:**
Aggregate counterparty prices and orders omni-channel, across Excel, chat or API to map liquidity into a virtual marketplace.
Reduce manual tasks, expand your range of counterparties, and spot more trade opportunities.
Improve price discovery, reduce manual tasks and eliminate errors.
**Data On-Demand & Notifications:**
Your data is available to investors or chosen counterparties on-demand in any chat platform. Automated portfolio statements are delivered to recipients’ chat or email.
**Workflow Monitoring:**
All your live messages, across all platforms, captured, standardised and stored in ipushpull Warehouse.
Monitor messages in real time across your fund in easily configurable views with automated alerts for priority portfolios, funds and investors.
**Service Analytics:**
A central dashboard to analyse your messages and interactions across all platforms.
Monitor your counterparties historically and track your KPIs.
**ipushpull Warehouse:** Access all your message and data interactions across all channels in a standardised and original format. View in real time in a central dashboard. Track and analyse all your interactions historically.
**ipushpull Trade Capture & Booking**, automatically captures, interprets, enriches and books trades from chat into the systems that matter. AI fills a draft ticket, referencing previous examples, and a pop-up then appears so the trader or broker can check the draft and confirm with a click.
London
UK
2013
HF |
Approximately 22 employees
$4.56M
Series A
Mar 2023
$7.8M
**ISO27001** certified. Data is encrypted in transit and when at rest. ipushpull uses encryption in transit between your applications or service and your ipushpull service and between your ipushpull service and any end-user client application. Any data stored in your ipushpull database is also encrypted.
AWS (Bedrock)
ipushpull offers flexible pricing based on quarterly or annual licenses with packages based on the type of hosting, and the features and solutions implemented.
Ontra provides AI-powered legal tech for private markets. Ontra’s private markets technology platform streamlines and optimizes critical legal and compliance workflows across the full fund lifecycle to fundraise, invest, and operate funds. Their solutions automate contracts, streamline obligation management and digitize entity management.
**Contract Automation:** An AI-powered, human-in-the-loop, contract negotiation solution. Contract Automation combines purpose-built, industry-specific AI capabilities and an experienced global network of legal professionals to efficiently and effectively handle routine legal agreements.
**Accord:** Accord empowers your teams with AI tools to track negotiations, create markups, and summarize outcomes
**[Insight for Funds](https://www.ontra.ai/products/insight-for-funds/)** allows you to expedite your fundraise, run a modern MFN election process, and demonstrate side letter compliance.
**[Insight for Credit](https://www.ontra.ai/products/insight-for-credit/)** makes it easier to understand and compare your credit agreements, track upcoming deliverables, and satisfy commitments to lenders–all in one place.
**Atlas:** Atlas uses AI-enabled automated workflows to organize, manage, and share entity data, structure charts, and legal documents, creating a digital single source of truth.
**DDQ**
– Digitize manual DDQs and create a comprehensive question bank for investor diligence
– Match the most relevant information from your organization’s data to investor inquiries
– Expand and iterate on your repository as you answer each question and reduce the time required to complete future DDQs
**KYC**
Fund managers can entrust their end-to-end KYC process to Ontra’s experienced team that handles counterparty correspondence from initiation to clearance. They act as an extension of a firm’s staff, operating from a pre-agreed playbook that drives response standardization and minimizes escalations. This results in accelerated clearance times and a predictable, controlled cost structure that scales with fund managers’ needs.
San Francisco, CA
USA
2014
| PM
Approximately 400 employees
$70M
Debt
Jun 2025
$310M
**SOC2 II** and **ISO27001** certified. Data encrypted in transit and at rest. See [here](https://trust.ontra.ai/) for further information.
See [here](https://www.ontra.ai/products/pricing/) for pricing information.
LLMs / RAG
Ontra applies a comprehensive, defense-in-depth strategy to secure its GenAI products and integrations with large language models (LLMs). Access is tightly controlled using zero-trust principles, role-based access, SSO, and multifactor authentication. Prompt engineering is governed through a structured process involving internal specialists, peer reviews, performance monitoring, and strict access restrictions.
To prevent hallucinations, Ontra employs output validation guardrails and human-in-the-loop reviews. AI outputs must follow predefined data structures and undergo rigorous checks for accuracy and confidence before being accepted.
For Retrieval-Augmented Generation (RAG) products, Ontra enhances security by keeping access controls outside the GenAI system. Data is protected from prompt injection and unauthorized access by sandboxing the GenAI model and enforcing permissions upstream through robust frameworks.
Customer data is safeguarded via enterprise agreements with third-party LLM providers, all of which adhere to a strict zero-data retention policy—ensuring no request or response data is stored beyond the request lifecycle.
By embedding security at every layer—from access to infrastructure, prompts, and data handling—Ontra ensures its AI products align with its high standards for privacy, reliability, and integrity. This multi-layered approach enables the secure and responsible use of AI across its platform. See their [blog on security pactices in AI legal tech](https://www.ontra.ai/blog/data-security-practices-in-ai-legal-tech/) for further information.
Source Data Management, Documents Processing, Post-trade Workflow Automation, Compliance / Legal and Regulations Support
Portfolio Management, Risk Management, Investor Relations / Fund Raising, Compliance / Legal, Operations / Finance, IT / Information Management
0
Pepper is a cloud-native investment data platform for alternative asset managers that centralises deal, portfolio, CRM, documents and reporting workflows into a single ‘golden source’ to streamline private markets and credit operations, investor reporting and analytics. Pepper targets private-market investment managers (private equity, private credit, fund-of-funds and secondaries) with modular, configurable functionality designed to replace siloed Excel and legacy systems and enable advanced analytics, compliance reporting and investor storytelling.
**Pepper CRM:** A specialized CRM for asset managers to track deal flow, key dates, contacts, and workflows, with deep integration into email and calendars.
**Deal Management:** Tools to manage the entire deal lifecycle, including pipeline management, deal ranking, and document repositories.
**Investment Management:** End-to-end lifecycle management for multi-strategy and multi-currency portfolios, handling public and private assets.
**Valuation and Operations:** Modules for managing liquidity, valuations, cash reconciliations, and maintenance of complex portfolios.
**Reporting and Analytics:** Comprehensive reporting suite for internal and external stakeholders, offering speed, accuracy, and deep insights.
**Investor Relations:** Solutions to provide accurate insights and reporting to current and potential investors.
**Cloud native architecture:** Built to run on public cloud infrastructure with browser-based access, no local installs and modular deployment.
**Single Golden Source:** Data model that integrates CRM, deals, documents, portfolio positions and accounting to avoid duplicated data entry and create a single source of truth.
**Advanced Analytics & ML:** Includes analytics, machine learning and BI capabilities for scenario analysis, portfolio stress testing and private credit-specific workflows.
**Document search:** System-wide document ingestion and searchable repository to extract trapped information from fund and deal documents.
**Configurable modules:** Modular design allowing customers to configure functionality to meet multi-asset, multi-strategy, multi-currency portfolio needs.
**Investor reporting:** Pre-built investor and compliance reporting templates and dashboards to support LP communications and regulatory reporting.
NY
USA
2014
| PM
Cloud native SaaS, on public cloud infrastructure with browser-based access and no local installations.
Approximately 7 employees
Private
Jul 1905
$3.2M
Pepper’s security information is available [here](https://onpepper.com/security/)
Investment Research (Public), Investment Research (Private)
Investment Research / Deal Sourcing
0
Fyva, an AI-powered equity analyst, provides bottom-up, fundamental equity research designed to deliver new perspectives and insights on any company, including under-researched names. It systematically gathers and analyzes data across a company’s value chain—customers, market, competitors, and suppliers—using a proprietary knowledge graph and workflows built exclusively for investment analysis. Fyva’s approach emulates a human buyside analyst to support portfolio managers and institutional investors with objective analysis for both public and private markets.
**The Machine Analyst: ** An AI agent that autonomously conducts fundamental research on companies. It gathers historical and latest data, analyzes the entire value chain (customers, competitors, suppliers), and drafts detailed investment reports.
**Public Markets Research:** A module specifically for analyzing public equities, recent IPOs, and generating equity research reports with independent insights.
**Private Markets Research:** A module tailored for analyzing startups and private companies, capable of reading pitch decks and market data to assess investment risks, rationale, and value propositions.
**Proprietary Knowledge Graph:** The system uses a specialized knowledge graph to process and memory-bank data, ensuring consistent and context-aware analysis.
**First-Principles Thinking Engine:** Unlike standard LLM summaries, the platform is designed to build insights from the ground up to offer objective perspectives rather than just retrieving existing consensus.
**Automated Research Workflows:** Built-in workflows specifically designed for investment analysis to emulate the systematic process of a human buyside analyst.
**Complex Document Ingestion:** The capability to read and interpret complex unstructured data, including filings, pitch decks, diagrams, and graphs.
London
UK
2022
HF | PM
Fyva is a cloud-based SaaS platform accessible via web browser. It offers a ‘Request access’ model for its services.
Approximately 2-10 employees
Private
Fyva offers a usage-based pricing model (‘Pay-per-report’) .
LLMs / RAG, AI Agents, Agentic AI, Knowledge Graphs
Alternative Data Generation, Conducting Due Diligence, Investment Research Private Markets, Investment Research Public Markets, Memos and Reports Creation
Company Due Diligence, Investment Research / Deal Sourcing, Portfolio Management, Quant / Research
Dialectica is an information services company and expert network giving investment firms, consultancies and corporates primary research from industry experts. Core offer: one-to-one expert calls (~65% recruited specifically per project), B2B surveys, analyst-written reports. Serves PE (deal sourcing, DD, value creation) and hedge funds (thesis validation, recurring market reports, survey-based customer insight). AI-driven data ecosystem analyses proprietary expert transcripts at scale for trend spotting and personalised deal alerts. Sacra estimates $121.3M 2024 revenue, up 39% YoY, 70,000+ client users in 165 countries. Bootstrapped since founding.
Calls: Bespoke one-to-one expert consultations, ~65% recruited per-project, incl. former target-company executives.
B2B Surveys: End-to-end quantitative studies with configurable dashboards.
Insights Reports: Consultant-style written deliverables in 3-5 business days.
Origin: AI-driven market intelligence/deal sourcing combining knowledge graph, embedded expert transcripts, live expert access; screens thousands of mid-market targets, proactive off-market deal alerts.
Executive Partnerships: Longer-term advisory engagements with experts.
Expert availability alerts; Anti-fraud logic for survey quality; Compliance infrastructure across all product lines.
London
UK
2015
HF | PM
Cloud platform, microservices architecture. Enterprise customers can integrate via API. No MCP server found.
Approximately 2,400 employees
Private
Unnamed hedge fund: Used B2B Surveys to assess potential investment’s customer perceptions, product usage, pricing strategy.
API integration available for enterprise customers.
Pay-as-you-go or framework agreements; Origin sold as platform product.
LLMs / RAG, Knowledge Graphs
Origin delivers personalised deal alerts based on user’s investment criteria.
Conducting Due Diligence, Memos and Reports Creation, Investment Research Private Markets, Portfolio Analytics, Monitoring Portfolio Companies, Documents Processing
Company Due Diligence, Investment Research / Deal Sourcing, Portfolio Management
Growthsphere builds domain-specific AI for institutional investing, trained on investment data, decision processes, committee feedback, DD frameworks and regulatory requirements rather than general models. Maps each investor’s data/criteria/assumptions into an ontology, producing bespoke analyses and screening/diligence memos in the investor’s own template. Covers full lifecycle: screening, diligence, monitoring, exits. Clients: pension funds, endowments, sovereign wealth funds, PE firms, VCs, family offices. Proprietary segmentation ontology covers 1,000+ sectors vs GICS’s ~300.
Institutional Product: Single-tenant agentic platform for regulated asset owners, own data lake and private LLM, connects to LP’s books of record, covers all asset classes; NL queries of portfolio metrics/benchmarks/attribution.
Memo-as-a-Service: Multi-tenant service for PE/VC/fund investors; screening memo (tear sheet) in investor’s template, moves to full diligence memo with VDR artifacts; calculates actual IRR of vintage funds net of fees.
VC and PE deal tools: Turns pitch deck/website into diligence memo; scores/ranks inbound deals against fund mandate; ingests entire VDRs for agentic financial/risk analysis.
Institutional Product: single-tenant, own data lake and private LLM. Memo-as-a-Service: secure, multi-tenant. No public API or MCP server found.
Approximately 32 employees
$6.3M
Institutional Product runs single-tenant for regulated investors with dedicated data lake and private LLM. No SOC 2/ISO 27001 certification found.
Pension funds, endowments and sovereign wealth funds (unnamed); reports seven early clients spanning asset owners and managers.
Integrates with LP’s own systems/books of record; ingests virtual data rooms.
Memo-as-a-Service described as modestly priced; institutional pricing not disclosed.
LLMs / RAG, AI Agents, Agentic AI, Knowledge Graphs
Advocates private LLMs over public models for institutional investors; institutional deployment runs dedicated private LLM in single-tenant environment.
Models fine-tuned and personalised to each investor’s templates, investment profile, criteria and assumptions via ontological reasoning.
08-Oct-2026: The 25th Annual Law Firm COO & CFO Forum will gather senior leaders to discuss law firm management, focusing on financial and operational issues. Intapp will be attending to support law firms. Events