Bill Gurley and Jack Altman Back New GovTech Startup

The friction between private sector innovation and public sector procurement has long been a barrier to progress. While many startups focus on the rapid-fire cycles of consumer tech, a massive opportunity sits dormant within the labyrinth of local and state government agencies. Bridging this gap requires more than just a good product; it requires a way to navigate the immense complexity of public data. This is where the pursuit govtech funding landscape is seeing a significant shift, driven by new tools that aim to turn chaotic public records into clear business intelligence.

The Evolution of Public Sector Sales

For decades, the process of selling to state, local, and education (SLED) entities has been characterized by opacity and manual labor. A business owner might know their software could revolutionize how a school district manages its facilities, but finding the specific person in charge of that budget feels like searching for a needle in a haystack. The information exists, but it is scattered across thousands of disparate websites, buried in unsearchable PDFs, or hidden within long video recordings of city council meetings.

This fragmentation creates a massive barrier to entry. Small to medium-sized enterprises often lack the massive sales teams required to manually monitor every municipal website in their target territory. Consequently, government contracts often go to the same established players, not necessarily because they have the best technology, but because they have the most resources to navigate the bureaucracy. This cycle stifles competition and slows down the adoption of modern, efficient tools in the public sector.

The irony of the situation is that almost all the necessary information is actually public. Transparency laws ensure that budgets, contract registers, and requests for proposals (RFPs) are accessible to anyone. However, the sheer volume of this data makes it practically invisible to the average salesperson. The cost of finding, parsing, and interpreting this information has historically been too high relative to the potential value of the contract signals found within them.

A New Era of Intelligence in GovTech

In 2023, a new player emerged to address this specific inefficiency. Pursuit, co-founded by Mike Vichich and Brandon Max, was built on the premise that the data is already there; it just needs a way to be useful. By leveraging advanced artificial intelligence, the platform aims to act as an automated intelligence layer that sits on top of the fragmented public record.

The company’s approach involves deploying AI systems that continuously crawl data from approximately 110,000 SLED entities. This includes everything from small county offices to large state departments and massive educational districts. Instead of a human being spending hours reading through a 200-page budget document, the AI can scan the entire file in seconds, identifying specific line items that signal a future need for services.

This capability represents a fundamental shift in how companies approach the pursuit govtech funding and procurement cycles. Rather than reacting to an RFP after it has already been published—at which point the competition is already fierce—companies can use these predictive signals to prepare months in advance. By understanding budget shifts and leadership changes, a sales team can engage with an agency long before a formal request is even drafted.

How AI Processes Fragmented Public Data

To understand the value of this technology, one must look at the specific mechanics of how AI handles unstructured data. In the context of government, data is rarely clean. It is often “unstructured,” meaning it does not sit in a neat spreadsheet. It lives in scanned images of handwritten notes, complex legal documents, and messy web tables.

Modern AI models use Natural Language Processing (NLP) to “read” these documents much like a human would, but at a scale that is impossible for a person to match. The system looks for specific semantic markers. For example, it doesn’t just look for the word “software”; it looks for context clues like “digital transformation initiative,” “cloud migration budget,” or “cybersecurity audit requirement.”

Once the data is parsed, the platform can perform cross-referencing. It can take a budget signal from a city council meeting and cross-reference it with recent FOIA (Freedom of Information Act) requests or changes in department leadership. This creates a multi-dimensional view of an agency’s readiness to buy, turning raw “sunlight” into actionable business intelligence.

The Motivation Behind the Mission

The drive to modernize these systems often comes from a place of personal conviction. For Mike Vichich, the motivation is rooted in a family legacy of public service. Growing up in a household where parents were educators and relatives served in the FBI and the Army, the concept of a functional, efficient government was a core value. This perspective shifts the goal from merely “selling to government” to “helping government work better.”

When a private company can easily navigate the procurement process, the government gets access to better tools, better security, and better efficiency. This creates a virtuous cycle: better technology leads to better public services, which ultimately benefits the citizens. The transition from a successful career in consumer technology—including a $200 million exit to Olo—to the GovTech space highlights a growing trend of entrepreneurs applying high-velocity tech principles to the slower-moving public sector.

This mission has attracted significant interest from the venture capital community. Pursuit recently announced a $22 million Series A round led by Mike Rosengarten of Builders VC. To date, the company has raised a total of $25.5 million. The investor roster includes notable names like Jack Altman and Bill Gurley, signaling a high degree of confidence in the ability of AI to unlock the massive, untapped market of SLED procurement.

Navigating the Challenges of B2G Sales

For many tech entrepreneurs, moving from B2C (Business to Consumer) or B2B (Business to Business) into B2G (Business to Government) feels like moving from a sprint to a marathon through mud. The challenges are distinct and require a specialized strategy.

Understanding the Long Sales Cycle

In the consumer world, a sale can happen in seconds with a single click. In the government world, a single procurement cycle can take six months, a year, or even longer. This requires companies to have much deeper “runway” and more patience. A common mistake is to build a product that is technically superior but fails to account for the bureaucratic steps required to actually get it paid for.

To succeed, companies must align their sales efforts with the fiscal year of the agencies they are targeting. If a department has a “use it or lose it” budget window at the end of their fiscal year, that is a critical window for engagement. Tools that provide visibility into these fiscal cycles are essential for any company looking to master the pursuit govtech funding process.

The Importance of Compliance and Trust

Government agencies are risk-averse by necessity. They are spending taxpayer money, which means they require high levels of security, reliability, and compliance. A startup cannot simply “move fast and break things” when dealing with a school district’s student data or a city’s infrastructure controls. Building trust is just as important as building the code itself.

Practical solutions for this include obtaining necessary certifications (such as FedRAMP or state-specific equivalents) early in the development process. Furthermore, demonstrating a clear understanding of the procurement rules—such as how to respond to an RFP or how to participate in a sole-source justification—can set a company apart from competitors who only focus on the technical features of their product.

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Practical Strategies for Entering the Public Sector

If you are a founder or a sales leader looking to diversify your revenue by entering the public sector, a systematic approach is required. You cannot simply blast out generic marketing emails to government officials; that approach rarely works and can often be seen as unprofessional.

First, identify your “beachhead” market. Instead of trying to sell to every government entity in the country, pick a specific niche. Perhaps you focus on mid-sized school districts in the Midwest, or perhaps you target municipal water departments in the Sun Belt. Narrowing your focus allows you to build deep expertise in the specific regulatory environments and budget cycles of that niche.

Second, leverage data to find “intent signals.” As mentioned previously, a budget increase for “IT infrastructure” is a much stronger signal than a general inquiry. Use intelligence platforms to identify which agencies are currently facing the specific problems your product solves. If a city has recently experienced a series of cybersecurity incidents, they are far more likely to be receptive to a new security solution than a city with a stable record.

Third, build a “relationship-first” sales model. While AI can find the data, humans still make the decisions. Use the data to inform your outreach, but ensure your interactions are focused on solving the agency’s specific pain points. Instead of saying, “We have a great software tool,” try, “We noticed your recent budget allocation for digital literacy; we have helped three other districts implement similar programs effectively.”

The Competitive Landscape of GovTech Intelligence

While Pursuit is a significant new entrant, the space for government intelligence is not entirely new. Established players like GovSpend, Deltek GovWin IQ, and Starbridge have long provided data to contractors. However, the emergence of generative AI and advanced machine learning is creating a new tier of competition.

The traditional players often rely on structured databases that are updated periodically. While highly accurate, they can sometimes lack the “real-time” nuance that an AI-driven crawler can provide. The difference lies in the ability to ingest unstructured data—like a video of a city council meeting—and extract meaning from it. This is the “layer” that modern companies are trying to build: the ability to turn raw, messy, public information into a coherent narrative of opportunity.

The competition will likely evolve along two lines: one group focusing on deep, historical data sets for large-scale defense and federal contracting, and another group focusing on the high-velocity, high-volume world of SLED intelligence. The latter is where the most significant disruption is currently happening, as the sheer number of local entities makes manual data collection an impossible task for even the largest firms.

Future Outlook: The Impact of Civic Tech Innovation

As we look toward the future, the integration of AI into the public sector will likely extend far beyond procurement. We are moving toward a world where “Civic Tech” is not just a niche category of software, but a fundamental part of how modern society functions. When the friction between private innovation and public administration is reduced, the speed of societal progress increases.

The successful companies of the next decade will be those that can act as translators between the fast-moving world of technology and the deliberate, structured world of government. Whether it is through better procurement tools, more efficient digital services, or more transparent data access, the goal remains the same: making sure the government can actually get stuff done.

The current momentum in pursuit govtech funding suggests that the market is ready for this transition. As more capital flows into companies that bridge this gap, we can expect to see a more competitive, innovative, and ultimately more effective public sector. The era of “sunlight” being hidden in dark corners of the internet is coming to an end, replaced by a landscape where data is a tool for progress rather than a barrier to entry.

Ultimately, the success of these new ventures will be measured not just by their revenue or their funding rounds, but by the efficiency of the schools, cities, and states they serve. When technology makes it easier for a local government to upgrade its cybersecurity or a school district to manage its budget, everyone wins.