Sixtyfour - Bloomberg for Sales
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Sixtyfour: The Bloomberg Terminal Reimagined for Modern Sales Teams

In the world of enterprise sales, precision is everything — yet most sales teams are armed with generic tools that fail to deliver actionable insight. Enter Sixtyfour, a San Francisco-based startup founded in 2025. Sixtyfour is building the Bloomberg Terminal for Sales, empowering hypergrowth companies to deploy custom research agents that map their Total Addressable Market (TAM) and surface real-time, high-signal intelligence, tailored to the metrics that actually move pipeline.

These AI agents aren't general-purpose — they’re finely tuned to mirror each company’s go-to-market motion, using internal data, regulatory filings, infrastructure analysis, and more. Instead of wasting time sifting through noise, Sixtyfour users get laser-focused market signals as they happen.

With clients like Mercor, Traba, Hockeystack, and Conduit, Sixtyfour is fast becoming an essential tool for modern sales teams operating in complex or regulated sectors.

Why do traditional data platforms fall short for enterprise sellers?

If you’re selling into a niche market — say, a hospital network, a defense manufacturer, or a regional logistics hub — you already know the pain: traditional sales intelligence platforms simply don’t go deep enough.

Here’s why they fail:

  • Intent signals are too generic: Knowing someone visited a pricing page might work for SMB SaaS, but it’s meaningless when you’re selling a $500K solution that requires six months of vetting.
  • The nuance is everything: Enterprise deals depend on specifics like a facility expanding its fleet or a new Medicare report being filed.
  • ICP modeling is outdated: Static filters can’t capture the richness of real-time activity. Try searching for “companies that just hired a new CRO, expanded their GTM team, and adopted a new product in the last quarter” — it’s impossible with legacy platforms.

Enterprise sellers are asking smarter questions. The problem is, the tools haven’t kept up. That’s where Sixtyfour steps in.

What exactly does Sixtyfour offer its customers?

Rather than offering data lists or dashboards, Sixtyfour builds a custom intelligence infrastructure that grows with each customer’s pipeline. It consists of several core components:

Continuously Evolving TAMs

Sixtyfour collaborates with each customer to define — and continuously refresh — their Total Addressable Market using highly specific data. That can include regulatory filings, physical infrastructure (e.g., square footage or parking lots), team composition, or expansion signals.

Real-Time Proprietary Signals

Customers get alerted when something important happens: a decision-maker departs, a company adopts a new vendor, or a cost report is submitted. These signals are tailored to what moves your deals.

Machine Learning That Learns From You

Sixtyfour doesn’t rely on generic scoring models. Instead, it can train and deploy custom ML models using your internal data — win/loss rates, velocity, churn, or deal size — to qualify leads based on what matters to your pipeline.

AI Agents That Think Like Your Best Rep

Rather than replace reps, Sixtyfour arms them with tireless AI co-pilots. These agents monitor, qualify, and surface opportunities that align with your strategy, at the moment you’re most likely to close.

Who are the founders, and what inspired Sixtyfour?

The brains behind Sixtyfour are Saarth Shah and Christopher Price, two builders who’ve experienced the pain of selling into complex markets firsthand.

Saarth Shah, Co-Founder & CEO

Saarth is a UC Berkeley data science graduate with engineering experience at Whatnot (YC W20) and Deepgram (YC W16). He’s a former data science researcher at Stanford Snyder and the San Diego Supercomputer Center and previously founded Internalize, a conversational AI startup. His tech background is matched by his obsession with real-world sales use cases.

Christopher Price, Co-Founder

A Cornell CS dropout and AI CalHacks winner, Christopher led GTM at Onyx (YC W24) and built sales tooling at Symbl. His background spans AI, ops, and analytics, bringing technical depth and commercial clarity to every decision.

Together, they are building the platform they wished they had in their previous ventures — a tool that could bridge sales intelligence and machine intelligence without forcing teams to do the heavy lifting.

What are some real-world use cases Sixtyfour is solving?

Enterprise sellers using Sixtyfour unlock value in several critical ways:

  • Discovering overlooked markets: By mapping nuanced TAM attributes, teams surface entirely new ICP segments.
  • Accelerating outbound strategies: Real-time triggers make cold outreach smarter — you contact the right person at the right moment.
  • Reducing time-to-insight for new hires: Instead of relying on tribal knowledge, new sales hires instantly access a live, curated TAM view.
  • Aligning cross-functional GTM efforts: Marketing, sales, and revenue ops now operate off the same real-time intelligence framework.

The result? Better-qualified opportunities, faster pipeline growth, and a clearer view of the market.

How does the product integrate into existing workflows?

Sixtyfour is built to work with your stack, not against it.

It integrates with CRMs, sales engagement platforms, internal databases, and external data sources to create a centralized intelligence layer. Users can receive alerts via Slack, dashboards, or custom workflows built into their outreach tools.

Importantly, these agents don’t need constant supervision — they adapt to feedback, learn from performance, and continuously refine the signals they deliver.

From prospecting to forecasting, Sixtyfour becomes an embedded layer of intelligence in the sales process.

What’s next in Sixtyfour’s evolution?

While the current platform already supports cutting-edge use cases, the roadmap is ambitious. In the near future, Sixtyfour plans to:

  • Launch vertical-specific agents with built-in logic for industries like medtech, fintech, logistics, and manufacturing.
  • Expand no-code agent configuration tools so GTM teams can build their own intelligence agents without engineering help.
  • Deepen CRM and marketing integrations for end-to-end visibility across the funnel.
  • Introduce collaborative intelligence views for RevOps, enabling smarter territory planning and account prioritization.

The goal? To be the core intelligence layer for every sales team working in a complex, evolving market.

Why is Sixtyfour poised to lead the future of GTM intelligence?

The rise of AI and data availability has not yet been matched by usable, actionable systems for sales teams. Sixtyfour isn’t trying to disrupt with flash — it’s building infrastructure: something essential, durable, and inevitable.

By focusing on customization, automation, and real-world insight, Sixtyfour fills the gap left by off-the-shelf tools and turns noisy data into operational clarity.

In a world where timing and targeting make the difference between missed quotas and blown-out quarters, Sixtyfour doesn’t just help sales teams work faster — it helps them work smarter.