Purvaja Soochit is the Co-Founder and CEO of Binoloop. During this conversation, she discusses automating and digitising manual processes, gaps in existing enterprise applications, future roadblocks in AI adoption, and spicy Mezcal Margaritas! 

Binoloop simplifies government procurement through AI-powered supplier discovery and compliance tools. Their platform helps sourcing specialists find qualified vendors, ensure FAR/DFARS compliance, and streamline the procurement process with automated evaluations. 

1. What is Binoloop’s mission? 

Binoloop is on a mission to help government agencies worldwide automate manual and repetitive processes. Our primary focus is on regulatory automation, where we see significant potential for AI to simplify complex regulatory environments. Procurement is a key area - despite the many digital tools available, manual tasks still persist, such as referencing regulations or handling compliance outside core systems. 

Our platform is designed to automate and enhance existing workflows, not replace systems of record like SAP. Instead, we augment these tools by streamlining the manual tasks that happen outside them, making processes more efficient and fully automated.

2. What have been the most significant milestones in Binoloop’s journey so far? 

It's been an incredibly fast journey. We're just a year and a half old, and we secured our first contract within the first week - a huge milestone for an early-stage startup. From the start, our mission has been to build a multimodal agent. 

One of our biggest achievements in those early months was tackling a challenge no existing solution could address: video-based procurement assessment.

In 2023, there were few models, little thought leadership, and almost no guidance on leveraging generative AI for this purpose. So, we had to innovate - developing proprietary methods and conducting extensive research to create a scalable, production-grade solution for a government client. 

That led to one of Binoloop’s defining moments: the launch of Tally, one of the first automation solutions for multimodal evaluation in procurement. 

One of the core components we built into the engine that powers Tally is something we continue to leverage as we expand our capabilities. We call it ACSEND - a decision framework that uses AI to interpret various regulatory frameworks and compliance requirements in the context of each client. 

We identified a major gap in commercial AI models. While they offer strong use cases, they lacked the ability to effectively handle procurement regulations and compliance planning.  

With ACSEND, we've been able to bridge that gap, achieving far better results than existing models. Though the framework was one of our earliest innovations, we continue to refine and expand it as we develop new products 

3. What do you look for in the perfect customer? 

First, we target government customers at all levels, particularly those with complex, manual-heavy workflows - whether in procurement, sourcing, or permit reviews.

Right now, we’re focused on tackling these challenges, the ideal use case for us is any environment with complex, compliance-heavy processes, where automation can drive significant efficiency gains. 

For me, it’s been a continuous learning journey. In the early days of our company, my co-founder and I had prior experience consulting for government agencies, which gave us a small network in the U.S. That helped us land our first clients. 

Since then, we've pursued traditional routes like RFPs - winning a few along the way - but we've also positioned ourselves as thought leaders in AI for government use. We've contributed white papers, given talks at research institutes, and actively engaged with key stakeholders exploring AI adoption. 

4. What are the foundations of growing a great team? 

We’re growing fast and operating across different geographies, but one key trait that stands out across our team is extreme ownership.  

We’re building something that doesn’t yet exist in the market, so there’s no playbook to follow. That means we must be relentless in innovating, constantly iterating, and staying deeply attuned to our customers’ needs.

Customer feedback is at the core of our approach - we analyse every insight and integrate it intelligently into our tool. This mindset has been crucial to our success, helping us move fast, collaborate effectively, and deliver solutions that truly make an impact. 

When we started, there was no reference point for what we were building, so we approached everything with a fresh mindset. We didn’t ask, ‘How is this done today?’ but instead, ‘How should it be done?’. 

In terms of values, continuous learning and moving quickly are key principles we encourage across the company. As a startup, we pivot, adapt, and iterate fast. For example, our first product was live just six weeks after we started - remarkably fast compared to typical production-grade launches. 

5. How do you incorporate GenAI/advanced technologies, and what will be your next major digital innovation? 

A key part of our strategy is establishing thought leadership, which is why we launched Binoloop Labs from the very beginning. This research arm focuses on developing new techniques and addressing gaps in existing AI tools. We also evaluate AI models that we can leverage, while proactively considering industry feedback to address future roadblocks. This has helped us stay ahead of the game. 

Looking at the AI landscape, especially with government customers, we see a shift. Last year and this year, many are in the 'trial phase,' exploring various tools to see what works.  

We anticipate a consolidation phase, where platforms will integrate AI capabilities for a wide range of tasks, rather than focusing on just one, as has been the tradition with large procurement tools.

As AI reasoning and capabilities evolve, we expect this shift to gain momentum. Our goal is to capture this evolution early on, which is why we're building the Atlas platform with that future in mind. 

6. What’s the vision for Binoloop? What does great look like in three to five years’ time? 

Our vision is to create a generalised model focused on understanding government data and regulations for each agencies, with the capability to target every department and automate any manual task. Think of it as a true agent - an intelligent assistant that can be integrated into everything from legal to procurement, sourcing, and even customer service. It would understand the context of the company, location, compliance, and more, allowing it to efficiently automate key processes. 

Where we see ourselves heading is not in replacing headcount, but in maximising the output of your existing team. Our goal is to help companies achieve 100x the productivity they currently can with the same workforce.

One key challenge is adoption, particularly in the government sector. We're still early in this journey compared to the private sector. While governments are starting to adopt AI, we're not there yet. For AI to work effectively, you need the right data to ensure efficiency and accuracy. However, most commercial models today aren't trained on government documents or regulations, as there’s very limited data available. 

The second challenge is the rapid pace of change within the AI space. The progress we’ve seen in AI models and their possibilities has been enormous. Looking ahead, we believe that in just two years, even if the pace of change remains constant, there will be far more that can be done with far fewer resources. 

7. What are you doing that is good for the planet? 

First, most of the automation we aim to address involves reducing manual effort, particularly in paperwork. This includes cutting down on red tape, minimising the carbon footprint, and helping enterprises move toward more digital processes, moving away from paper. 

Second, we focus on reducing bias, which was a key capability we highlighted early on. For example, in procurement, we’ve developed AI models that act as pre-assessors. We've validated with government clients that these models help reduce human bias when selecting vendors or contractors. By providing a transparent paper trail, we ensure fairness, where every decision is based on data points rather than subjective judgment. 

Before, it was difficult to micromanage all evaluators and ensure fairness in the process. Justifications may have appeared fair but weren't always so.  

Now, with AI and the automation we've built, we can surface biases in decision-making, particularly in procurement.

Our goal is to leverage this to promote fairer decisions, not only in procurement but across other decision-making processes within enterprises. 

INSTANT INSPIRATION 

1. What is your favourite book/blog? 

The Lean Startup. I really love the focus on innovation and agility, and I've tried to implement those principles at Binoloop as well. It's my go-to. 

2. Who is your favourite inspirational leader? 

Satya Nadella. The way he pivoted Microsoft and transformed it into the company it is today is truly inspiring.  

3. What is your favourite piece of technology? 

I love Claude, the AI system. I really appreciate how it empowers non-technical people and automates many tasks. They've done an excellent job enhancing its capabilities and making it more accessible to everyday users. 

4. What is your favourite cocktail or guilty pleasure? 

I really like a spicy Mezcal Margarita! 

5. What is your favourite way to celebrate success? 

Our team works hard, and we make it a point to celebrate success. We try to meet up at least once a year for an off-site since we're spread across different geographies. For those in the same location, we usually celebrate big milestones with a team dinner. 

KEY TAKEAWAYS 

1. AI's role in government automation: AI has significant potential to automate manual and repetitive processes in government agencies, especially in areas like regulatory compliance, procurement, and sourcing. By simplifying complex environments, AI can drive efficiency and reduce manual workload.
2. Challenges with existing AI models: Many commercial AI models are not well-suited to handle government-specific tasks, especially regulatory frameworks and compliance requirements. There’s a gap in AI models’ ability to effectively process government documents, highlighting the need for more tailored solutions.
3. Innovation in AI for procurement: By automating tasks like vendor selection and assessments, AI can help create fairer, more objective decision-making processes in procurement and other sectors.
4. Extreme ownership and team culture: For early-stage companies, a culture of extreme ownership - where everyone is accountable for driving innovation and responding to customer needs - can be crucial for rapid development and staying competitive in a fast-changing industry.
5. The shift towards consolidated AI platforms: As AI capabilities evolve, there is a movement toward consolidating AI tools into comprehensive platforms. This transition will allow organisations to perform a wider range of tasks with a single platform, increasing efficiency and streamlining operations across different areas.
6. The pace of AI advancement: New developments in AI models, tools, and capabilities are emerging quickly, and businesses that can keep up with this pace and adapt to new advancements will have a significant advantage in the marketplace.
7. AI for sustainability and fairness: Beyond efficiency, AI can contribute to sustainability efforts by reducing paper usage, automating workflows, and lowering carbon footprints. Additionally, AI models can help reduce human bias, particularly in decision-making processes like procurement, ensuring fairness and transparency in operations. 

About Binoloop 

Binoloop simplifies government procurement through AI-powered supplier discovery and compliance tools. Their platform helps sourcing specialists find qualified vendors, ensure FAR/DFARS compliance, and streamline the procurement process. 

About ProcureTechSTARS 

 
ProcureTechSTARS are the digital procurement CEOs and Founders who are transforming procurement and the enterprise. In an open conversation with these leaders, Lance Younger discusses the highs and lows of building the future, the challenges they’ve faced, their perspective on the latest developments, and what motivates them.