Sellers pursue accounts without knowing where the technology budget is actually going

Without a workload-level map of where budget is flowing, teams waste pursuit cycles on workloads the account is building internally or has already awarded to an incumbent.
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No View of Where Investment Is Actually Flowing

IT spend totals tell sellers nothing about which workloads have funded budget versus which are still aspirational.

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Competitive Footprint Is Invisible

Knowing a competitor has 100 deals at an account does not show which workloads they own or where their coverage is thin.

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Technology Signals Are Scattered Across Sources

Hiring trends, tech stack changes, and outsourcing deal counts live in separate systems and never get synthesized together.

No Build vs Buy Verdict by Workload

Without a workload-level classification, proposals land on capabilities the account is building internally rather than buying externally.

How This AI Sales Agent Works

The agent cross-references financial data, hiring signals, outsourcing deal counts, and tech stack movements to produce a workload-level investment map and a sequenced opportunity playbook.

Financial Capacity and Investment Trajectory Analysis
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Analyzes IT spend, revenue, and CAGR to establish whether the account is in transformation mode or maintenance mode.

Is this account's technology budget growing faster than revenue and what does that signal for timing?

Strategic Priority Mapping from Signal Evidence
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Identifies funded technology priorities by cross-referencing earnings signals, hiring patterns, and news events.

Which priorities have committed budget and which are still aspirational?

Leadership Influence and Buyer Profiling
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Profiles key technology executives by role, tenure, and inferred agenda to identify the operational buyers for each priority.

Who owns the funded investment areas and who are the emerging decision-makers?

Three-Layer Execution Evidence Synthesis
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Synthesizes hiring data, outsourcing deals, and tech stack changes into a single evidence layer confirming active execution.

What does the hiring, outsourcing, and stack data tell us about where this account is actually spending?

Build vs Buy Workload Classification
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Classifies every material workload as Build, Buy-Services, Buy-Products, or Hybrid with a verdict and evidence for each.

Which workloads is this account buying from external partners rather than building internally?

12-24 Month Technology Strategy Outlook
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Projects the top upcoming investment areas with timing and confidence ratings based on converging signal evidence.

Which technology investments will reach procurement stage in the next 6, 12, and 24 months?

Opportunity Playbook and Entry Strategy
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Identifies the top 3 opportunities with deal size estimates, conviction ratings, and a sequenced 3-move entry strategy.

Where do we focus pursuit energy and how do we move from delivery partner to transformation partner?

This AI Sales Agent is used by

1

Strategic Account Managers and Enterprise AEs

Enter every account review with a workload-level view of where investment is flowing.

2

Practice and Capability Leaders

Identify which practices align to funded priorities versus commoditizing workloads.

3

ABM and Demand Generation Teams

Target outreach to the executives who own the funded investment areas in the brief.

4

Deal Pursuit and Bid Teams

Build the pursuit case before an RFP is issued using the scored opportunity playbook.

5

Alliance and Partner Teams

Align co-sell motions to the tech stack transitions moving fastest at the account.

6

Revenue Operations and GTM Leaders

Score account prioritization using investment trajectory and workload classification data.

Accelerate Every Deal Cycle with AI Agents for Sales

Give your teams always-on agentic intelligence that speeds up every step of your GTM motion; from account identification to deal closure.

Unlock a complete Tech Strategy and Investment Intelligence brief for any account

The Tech Strategy and Investment Intelligence agent delivers a comprehensive report that includes:
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Technology Strategy Snapshot

Transformation thesis, investment direction, seller position

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Financial Capacity and Investment Trends

Revenue, IT spend, CAGR, and forecast

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Strategic Priorities and Signals

Ranked priorities with dated evidence and owner

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Material Signals (Last 6 Months)

Key events with seller implications

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Leadership Influence Map

Executives with agenda and engagement hook

Three-Layer Execution Evidence

Hiring, outsourcing deals, and stack changes

Build vs Buy Workload Map

Every workload classified with verdict and evidence

12-24 Month Technology Outlook

Top 5 investment areas with timing and confidence

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Opportunity Playbook

Top 3 opportunities with deal size and entry point

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Entry Strategy

3-move sequenced path to strategic partner

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Key Buyers and Stakeholders

Named buyers with opportunity and engagement hook

Enterprises do extraordinary things with Draup

Real stories. Real Success.

Structured aggregation and processing of data is a pleasant help in daily business; Draup is responsive to feedback and additional requests at short notice. Provides valuable background information for sound decision making in complex business areas.
Peter Schmutzer
Ex- Director - Purchasing, OPD, Supplier Relationships & Strategy
Great insights on R&D spend, outsourcing locations/partners, market trends, etc and excellent turnaround time for requests. Quick homework before targeting an account is possible when we have Draup analysis in hand. A good platform for all New Business Development / sales efforts.
Ramachandra Prabhu
Ex- Group Marketing Manager
Amazing engineering insights; depth of information helps in account planning. Draup for Sales is benefiting our account-based marketing, so we target the right individuals with the right offers.
Venkat Padmanabhan
Vice President - Digital Engineering and Manufacturing Services
Draup’s data is now a critical part of the Microsoft customer sales journey. Their deep account intelligence has really pulled through in helping us unlock several enterprise accounts. Our sellers spend less time on research, & instead focus on building actionable strategies for our sales plays. The savings in time, cost & research efforts are a game-changer.
Vijay Rajagopalan
Partner GM Product & Engineering – Business & Industry Copilot

The Tech Strategy and Investment Intelligence agent is powered by unparalleled global market data

Powering 80+ Machine Learning models and 12+ Psychology models
GRANULAR
AI-enabled data updated continuously, historically available, and regionally relevant.
ACCESSIBLE
Data exchange and APIs, platform or a combination.
PROPRIETARY
Unique taxonomies and methodologies providing insights that drive proven results.
33
Industries
600K+
Outsourced Workflows
8M+
Executives
1000+
Custom Reports
1B+
Job Descriptions
33
Industries
600K+
Outsourced Workflows
8M+
Executives
1000+
Custom Reports
1B+
Job Descriptions
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
60K+
Technology Solutions
1000+
Custom Reports
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
60K+
Technology Solutions
1000+
Custom Reports
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
60K+
Technology Solutions
1000+
Custom Reports
GRANULAR
AI-enabled data updated continuously, historically available, and regionally relevant
ACCESSIBLE
Data shares and feeds, software, professional services, or a combination
PROPRIETARY
Unique taxonomies and methodologies providing insights that drive proven results