Best AI to Write Earnings Notes for Sell-Side Analysts
A source-controlled guide to choosing AI for sell-side earnings notes, from estimate variance and KPI changes through analyst review and distribution.
Research contributor
Rida Malik
Chief Technology Officer & Co-Founder, AllMind
Rida Malik is Chief Technology Officer and Co-Founder of AllMind.
Rida Malik contributes articles to AllMind Research on extracting earnings KPIs, evaluating financial AI benchmarks, and building investment research workflows.
Published articles
21 articles
How AllMind Unifies Open, Licensed, and Internal Research
A practical AllMind workflow for combining public records, entitled research, and internal firm evidence into source-linked investment reports.
AI Financial Research Benchmarks: What the Scores Mean
A buyer's guide to Finance Agent v2, Deep FinResearch, BigFinanceBench, Fin-RATE, and FinanceBench, including samples, scoring, and limits.
Bloomberg Terminal Alternatives for Research Teams
A seat-level guide to moving research workflows off Bloomberg while preserving the Terminal for messaging, execution, pricing, cross-asset analytics, and governed data.
Broker Research Licensing for AI: A Buy-Side Guide
A contract-first guide to broker research in AI workflows, covering processing rights, entitlements, derived output, records and access tests.
Equity Research Automation Statistics: A 2026 Evidence Check
What public surveys and finance benchmarks establish about research automation, what they do not measure, and how to calculate a team's own ROI.
AlphaSense Pricing: What Public Contract Data Shows in 2026
A sourced AlphaSense pricing guide that separates vendor facts from contract benchmarks and gives buyers a worksheet for comparing complete annual cost.
Hebbia Alternatives: A Workflow-Based Buyer’s Guide
A source-based guide to Hebbia alternatives for document review, public-markets coverage, banking deliverables, and financial data, with a reproducible trial checklist.
How to Build an Investor Company One-Pager with AI
A source-controlled one-page company brief template, with a public-filing example and a workflow for separating refreshed facts from analyst judgment.
How to Extract KPIs From Earnings Transcripts With AI
A schema-first method for extracting company KPIs from earnings transcripts with period, unit, definition, speaker, source, and review controls.
AI for Investment Thesis Validation: A Claim-Ledger Method
A practical method for turning an investment thesis into testable claims, cited evidence, disconfirming checks, and explicit monitoring triggers.
AI Supply Chain Analysis for Equity Research: A Source Map
A source-led method for mapping supplier and customer exposure, grading relationship confidence, and running equity read-throughs without false precision.
AlphaSense Competitors: A Market Map for 2026
A public-source map of the markets AlphaSense competes in, from terminals and expert networks to document analysis and research-workflow platforms.
How to Build an Automated Research Process for a Fund
A 90-day operating-model guide for funds automating research, including process maps, ownership, evidence controls, pilot metrics, and failure boundaries.
Choosing an AI Copilot for Equity Research
A five-task pilot for choosing an equity-research copilot, with evidence requirements for terminals, research systems, content search, and general assistants.
How to Evaluate AI Report Writers for Financial Analysis
A documented comparison and buyer-run evaluation for AI financial report writers, focused on source lineage, numeric consistency, templates, and review.
Best AI Stock Research Tools for Professional Investors
A candid guide to the best stock research tools by workflow, including why AllMind is the strongest first pilot for institutional equity research.
AI Tools for CFA Charterholders: An Evidence Standard
A source-led framework for CFA charterholders and analysts using AI while preserving reasonable basis, attribution, independence, and client fairness.
AI Tools for Family Offices: A Stack by Decision Type
A family-office guide to separating portfolio data, public research, private-market diligence, documents, and general AI by the decision each supports.
Choosing an AI Platform for Asset Management
An operating-model guide for asset managers choosing AI across portfolio systems, research evidence, and productivity, with governance gates and pilot workflows.
Stop Treating AI Like a Chatbot: What Are Agents, SubAgents, MCP, and Skills, and How Do They Actually Work?
Most people don't lack access to powerful AI models. They lack a mental model for how to make them work. This article breaks down Agents, SubAgents, MCP, and Skills, and shows how they come together to automate real workflows.