AI Agents for Research & Analytics
AI Agents for Research & Analytics
Grail agents live in your Slack or Teams and accelerate your research workflows — pulling data from multiple sources, building models, generating reports, summarising findings, and delivering insights to stakeholders — without manual effort.
How It Works
Connect Grail to your data warehouse, external APIs, and research tools. Brief it on what you need — it pulls the data, cleans it, runs the analysis, and delivers a structured output directly in Slack or as a shareable document.
Connects to your research stack
Built to Remember
Add a Grail agent to your research team and brief it on your data sources, report formats, and stakeholder preferences. It learns your methodology, preferred charts, and output structure — and produces consistent, accurate work every time.
Learns Your Data Sources
Connects to your data warehouse, external APIs, and research databases. Learns your preferred analysis frameworks, output formats, and key stakeholders.
Proactively Surfaces Insights
Flags anomalies in your data, emerging competitive signals, and patterns you didn't ask about. Develops standing reports that refresh automatically.
Runs Like a Senior Analyst
Knows your preferred models, citation standards, and stakeholder communication styles. Produces boardroom-ready outputs with minimal briefing.
Security & Control
Enterprise-grade compliance built into every agent.
Full Code Ownership
Every automation we build is exported to your repositories. You own the IP — zero vendor lock-in.
Approvals & Audits
Human-in-the-loop approval steps before any consequential action. Every decision is logged with full context.
Immutable Audit Trails
Every action is logged with full context — who asked, what ran, what changed, and when. Ready for internal review or external audit.
Use Cases with Grail
Real research and analytics work executed by Grail agents.
Competitor Intelligence Report
Pulled pricing, product features, hiring signals, and customer reviews across 10 competitors — synthesised into a structured 20-page intelligence brief in 4 hours.
Revenue Attribution Model
Built a custom multi-touch attribution model in Python, connected to the data warehouse, and generated a dashboard with weekly auto-refresh and Slack digest.
Investor-Ready Market Sizing
Researched and modelled a TAM/SAM/SOM analysis for a new market entry — sourced from 15 public datasets, validated with primary research, and formatted for the board deck.
Ready to Supercharge Your Research?
Book a demo to see how Grail agents can work for your team.