Enterprise Strategy Agent - Hero product

Four agents, one decision intelligence engine

Enterprise Search, Deep Research, Data Analyst, and Strategy - working as one. Built first for PE, VC, public-market research, and strategy consulting; equally at home in healthcare, energy, credit risk, government, and defense intelligence.

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Enterprise Strategy Agent hero image
Internal knowledge graph Gap detection Autonomous web research Human-in-loop approval Live dashboards Interactive strategy builder Cited at every claim
Trusted by enterprise & investment teams

Powering decisions across banking, healthcare, energy, and SaaS

Dsider
Transcell
Indipe
Velloni
followG
Govt of Telangana
EkStep
salescode.ai
Native World
PayNearby
Canara Bank
Why Adya ESA

Decisions you can defend

Most AI research tools generate confident prose with no traceability. ESA is built the opposite way - every claim ties to a source, every output passes governance, and every analysis is reproducible at the partner meeting.

ES
Project - Acme acquisition Active
Enterprise Search - 412 docs graphed
Deep Research - 86 PDFs analyzed
Data Analyst - 4 dashboards live
Strategy - IC memo drafted
One project, four agents

Four agents across the decision lifecycle

Search builds the graph, research fills the gaps, analytics surfaces the patterns, strategy synthesizes the call. The findings from one feed the next - no copy-paste, no version drift.

Memo draft - Section Market thesis

Industry CAGR estimated at 12.4%[1], driven by enterprise demand[2].

Top 3 competitors hold 62% share[3].

[1]Gartner Q4 2025 forecast
[2]Comp 10-K - pp.34
[3]IDC market share H2 2025
AGP - all claims sourced

Every claim, tied to a source

AGP enforces citation-grounded outputs as mathematical proofs. Every number, every quote, every claim has a traceable source - or it doesn't ship.

Scenario tree - Acme
4 branches
42% - OK 28% - WAIT 22% - WAIT 8% - PASS
Recommended: Acquire @ less than or equal to 7.2x EBITDA

Scenarios, scored and explained

Stress-test a thesis across drivers, assumptions, and time. ESA shows the tree, the probabilities, and the source backing each branch - so the IC sees the reasoning, not just the recommendation.

Cross-deal memory - last 18 months
Deal #1 Deal #14 - 4x faster

Memory that compounds across deals

Every memo, every model, every diligence call lives in shared memory. The 14th deal benefits from everything the agent learned across the first 13 - without rebuilding context from scratch.

Inside Enterprise Strategy Agent

Four agents in a handoff, one decision intelligence engine

Enterprise Search graphs your internal universe and finds the gaps. Deep Research goes outside to fill them - with human-in-the-loop approval before anything enters the knowledge base. Data Analyst turns it into dashboards and answers. Strategy synthesizes the call.

1 - Enterprise Search Agent

Graph your internal universe - and find what's missing

Tracks and categorizes every internal document, builds a live knowledge graph of entities, claims, and sources, and runs cross-document semantic search. Critically, it identifies the gaps - the missing topics, unsourced claims, and questions your firm hasn't asked yet - and hands them to the Deep Research agent.

Auto-categorization across docs, decks, memos, transcripts, calls
Live knowledge graph linking every entity, claim, and source
Cross-document semantic search with traceable citations
Gap detection - flags missing topics for Deep Research
See the Enterprise Search agent in detail
Adya
Enterprise Search
Sarah Chen - Acme deal room
What does the deal room say about Acme's pricing strategy?
Thinking - 4 sec
Searched 412 docs in Acme deal room
Built knowledge graph snapshot
Surfaced findings + flagged 3 gaps
Generated - 4 sec ago
Knowledge graph - Acme pricing strategy

Pricing shifted to consumption-based since Q2[¹]. ACV up 38% YoY, discount discipline at 14%[²]. No EU pricing for FY24 - flagged as gap.

412 docs graphed - 23 entities - 3 gaps detected
Adya
Deep Research
Received from Enterprise Search Agent - 2 min ago
Gap:EU pricing data for FY24 In progress
Source: Enterprise Search - routing rules - live
Thinking - 14 sec
Downloaded 86 PDFs in parallel
Queued 12 items for analyst review
Synthesis - 86 sources scanned
EU pricing data for FY24

EU pricing averaged €127/seat with €0.18/API call variable[¹]. Competitors 22% higher across DE/FR/NL[²].

Sources86 Extracted47 Queued12
2 - Deep Research Agent

Hunts hundreds of sources - analyst approves before anything lands

Triggered by gaps from Enterprise Search. Goes to the public web, proprietary databases, regulatory filings, and PDF repositories. Downloads, parses, and analyzes findings in parallel - then queues them for human review. Nothing enters the knowledge base until an analyst approves.

Multi-source autonomous research across web, filings, databases
PDF download & analysis at scale - hundreds in parallel
Cited synthesis of every finding, with provenance
Human-in-loop approval gate before ingestion
See the Deep Research agent in detail
3 - Data Analyst Agent

Dashboards, charts, and answers - on demand

Once the knowledge base is updated, the Data Analyst takes over. Builds dashboards. Generates visualizations on natural-language questions. Surfaces patterns across deals, sectors, and time. Every answer traces back to the underlying sources.

Auto-generated dashboards from the live knowledge graph
Charts & visualizations from natural-language questions
Live insights as the graph updates - no rebuild required
Stakeholder-ready answers, with traceable source links
See the Data Analyst agent in detail
Adya
Data Analyst
Sarah Chen - Acme deal room
Show me ARR vs comp set, last 8 quarters.
Thinking - 8 sec
Pulled Q1-Q8 ARR figures - 12 quarterly transcripts
Pulled comp set data - PitchBook - 6 companies
Generated chart
Generated - 8 sec ago
ARR vs comparable set - Q5-Q8
Acme Comp avg
Acme - Q8 - $24M ARR - +38% YoY[1]
Adya
Strategy
Priya Patel - Partner
Generate the IC memo for Acme - base case + scenario tree.
Thinking - 12 sec
check Ran scenario tree - 3 drivers - 8 outcomes
check down Generated IC-ready memo
Generated - IC Memo draft
Acme - Investment Committee Memorandum
Date: 14 May 2026 - Partner: P. Patel - Status: Draft
Recommendation: PROCEED at proposed terms[1]. Top-quintile ARR & NDR[2].
Scenario tree - probability-weighted
4 - Strategy Agent

Synthesizes the call - with an interactive builder for the IC table

Takes inputs from Search, Research, and Analytics. Produces a defensible board-grade strategy with scenario tree, assumption traces, and probability-weighted outcomes. The interactive builder lets the partner click through alternatives - change a driver, watch the strategy update in real time.

Cross-agent synthesis - search + research + analytics in one view
Scenario simulation with probability-weighted outcomes
Interactive builder - click drivers, see strategy update live
Board & IC-ready memo & deck generation
See the Strategy agent in detail

Built for the partner meeting

When millions of dollars hinge on a memo, every claim has to hold up under questioning. ESA's outputs are sourced, governed, and reproducible - by design, not by review.

Diligence at scale

From 40-hour memos to 4-hour drafts

Mid-market PE 8 portfolio cos. Multi-sector 12 deal-team members
90%
Faster initial research
60%
Less analyst grunt work
4x
More deals screened per partner
100%
Citations on every claim
The diagnosis

Three associates per partner. 80% of the week on commodity research.

Memos late. IC saw fewer deals. Prior diligence trapped in folders nobody reopened.

The intervention

All four agents deployed across the diligence pod - AGP enforced from day one.

Search graphed prior memos. Research wired to PitchBook + filings. Analyst on the IC dashboard. Strategy on the memo template.

What changed

First-cut memos in 4 hours instead of 40.

Analysts on judgment, not summarization. IC sees 4x the deal flow, same headcount. Every claim cited.

"The first AI tool we evaluated where every paragraph in the output had a traceable source. Our IC took the memo seriously - for once, AI work didn't feel like a parlour trick."

Managing Director
Mid-market PE firm - 8 portfolio companies
Built on Adya

The defensible IP behind every output

ESA isn't a wrapper around a chat model. It runs on four pieces of proprietary infrastructure that took years to build - AGP, MAN, ESM, and AI-ELT - the moat that lets ESA's outputs hold up where general-purpose AI can't.

AGP - Adaptive Governance Protocol enforces every claim as a sourced proof
MAN - Multi-Agent Network runs Search, Research, Analytics, Strategy in parallel
ESM - Event-Sourced Memory keeps every deal, source, and decision alive
AI-ELT - Agentic data pipeline that ingests filings, transcripts, news at scale
Explore the Adya platform architecture
Trust & compliance

Highest standards for security & compliance

Adya complies with stringent data privacy and security standards so you can focus on the thesis, not the audit log.

HIPAA
HIPAA-aligned
SOC 2
In flight
GDPR
Ready
ISO 27001
Roadmap

Sensitive deal data and models stay on your cloud - AWS, Azure, GCP, or on-prem. Adya is the intelligence layer, not the data custodian. Every agent action is timestamped, signed, and immutably logged.

Resources

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The platform

Run your strategic intelligence
on one engine

ESA isn't just for diligence - use it for portfolio reviews, exit prep, market mapping, and IC prep. Same platform, different prompts, every output sourced.

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Free for the first 5 deal memos - No credit card required

STRATEGY AGENT