Overview
Pesql is automating the first mile of venture discovery — the stage where analysts spend the most time but create the least differentiated value. This initiative shifts the process from manual research and scattered sourcing to continuous, data-driven automation that surfaces the right companies before others see them.

Purpose
The first mile of discovery determines the quality of every downstream investment decision. By automating it, Pesql empowers investors to focus on analysis and engagement rather than repetitive data gathering. Our system continuously scans private-market signals to identify companies most aligned with a fund’s thesis, stage, and investment intent.

Core Capabilities

1. Predictive Signal Engine – models growth momentum, fundraising probability, and readiness indicators across multiple data sources.

2. Dynamic Discovery Streams – auto-refreshing company lists tailored to specific theses and geographies.

3. Smart Filters and Alerts – continuously refine based on user behaviour and market movements, ensuring no relevant company is missed.

Why It Matters
Traditional deal sourcing is reactive, fragmented, and slow. Pesql replaces cold manual search with a predictive engine that works around the clock, discovering companies as they emerge and flagging them before a round becomes public. This gives investors an information advantage and redefines what “early” means in venture.

Next Steps
We are integrating automated discovery deeper into collaborative workspaces and watchlists, enabling teams to act on surfaced opportunities in real time.

Summary
Automating the first mile of discovery is central to Pesql’s mission to modernise private-market intelligence. It is how we move from discovery as a manual process to discovery as an intelligent, predictive workflow—delivering time savings, sharper insights, and earlier access to innovation.

Overview
Collaborative Workspaces introduce a shared environment for venture and private-market teams to work together directly inside Pesql. They enable analysts, partners, and associates to align around live data, shared watchlists, and thesis pipelines—eliminating fragmented workflows across spreadsheets and chat threads.

Purpose
This release is designed to make deal discovery and evaluation inherently collaborative. Workspaces bring transparency and structure to how teams track opportunities, benchmark signals, and make decisions together, all within the same predictive platform.

Core Capabilities

1. Shared Watchlists and Notes – teams can collectively monitor companies, annotate key insights, and assign ownership for follow-up.

2. Real-Time Context Sync – any updates to filters, scoring views, or company data instantly reflect across all members.

3. Role-Based Access and Permissions – flexible visibility controls allow funds to manage internal and external collaborators with precision.

Why It Matters
In most investment workflows, collaboration happens after discovery. Pesql shifts this dynamic by embedding shared context at the point of insight. This creates a live intelligence loop between individuals and teams, shortening decision cycles and enhancing collective conviction.

Next Steps
Upcoming iterations will expand on team analytics, activity trails, and in-workspace AI summaries that capture evolving investment narratives.

Summary
Collaborative Workspaces establish the social and operational layer of the Pesql platform—bringing alignment, speed, and clarity to how investment teams think, discover, and act together.

Overview
The Pesql Knowledge Agent is our next major step toward transforming how investors interact with private-market data. It acts as an intelligent layer that connects discovery, analysis, and action—turning static data into interactive insight.

Purpose
The Knowledge Agent learns from user behaviour across watchlists, searches, and workflows to deliver adaptive recommendations and context-aware summaries. It personalises the analyst experience by anticipating the next question, surfacing relevant companies, and highlighting unseen signals that align with a fund’s thesis.

Core Capabilities

1. Contextual Intelligence – understands user intent across the platform to refine recommendations.

2. Conversational Interface – allows users to query private-market data directly in natural language.

3. Knowledge Graph Engine – maps relationships between startups, investors, and markets to uncover emerging clusters of innovation.

Why It Matters
The Knowledge Agent transforms Pesql from a discovery tool into a cognitive partner for venture and private-market teams. It reduces research friction, amplifies signal detection, and delivers faster, more confident decision-making.

Next Steps
We are now integrating the Knowledge Agent into live watchlists and thesis dashboards, with alpha testing scheduled for early users this quarter.

Summary
The Pesql Knowledge Agent represents the foundation of our long-term vision—a continuously learning system that evolves alongside the investor, embedding intelligence directly into every stage of the discovery workflow.

Overview
Pesql has officially launched its foundational product, marking a key milestone in our mission to modernise private-market discovery through predictive automation. This release establishes the core data infrastructure and workflow layer that venture and private-market investors can use to identify, monitor, and anticipate emerging opportunities with intelligence traditionally only accessible post-funding.

Vision
Our vision is to become the predictive automation layer for private markets. The foundational launch reflects our commitment to rethinking deal flow sourcing by making discovery proactive rather than reactive. Pesql enables analysts and investors to explore startup signals across multiple data sources, surface thesis-aligned opportunities automatically, and build insight pipelines that evolve as the ecosystem moves.

What’s Included
The foundational release delivers the key pillars that define Pesql’s core value proposition:

1. Predictive Discovery Engine – surfacing companies likely to raise in the next six to twelve months, based on proprietary probability models.

2. Signal Intelligence Framework – combining growth, heat, and efficiency scores derived from multiple private-market datasets including hiring, digital footprint, and funding behaviour.

3. Workflow Integration Layer – the ability to create and manage watchlists, save searches, and build thesis-aligned discovery streams within the same workspace.

4. APAC Market Depth – enhanced regional coverage with a growing focus on the Australian and broader Asia-Pacific startup ecosystem.

Why It Matters
Private-market investors spend disproportionate time discovering opportunities instead of evaluating them. Pesql addresses this imbalance by shifting the discovery process from manual search to predictive automation. This enables analysts to identify patterns early, uncover overlooked companies, and track readiness signals before the rest of the market.

Early Adoption and Feedback
Our early partner trials with venture firms including Investible and Black Nova have validated key use cases for origination teams, demonstrating measurable time savings and improved discovery quality. Feedback has informed our product roadmap with a focus on deeper CRM functionality, watchlist intelligence, and thesis-driven automation.

Next Steps
The next release cycle will focus on:

• Expanding coverage and depth of predictive signals.

• Integrating shared watchlists and team analytics.

• Launching Pesql “Analyst Companion”, a recommendation engine that learns user preferences and continuously curates aligned opportunities.

Closing Note
This launch represents the foundation of Pesql’s long-term product strategy — building an intelligent layer between data and discovery. Every future iteration will reinforce our mission to empower investors with predictive insight, creating an entirely new standard for private-market intelligence.