June 3, 2026
The Day Our MoUs and LoIs Turned Into a Learning Machine
By Mohammed Umair, Chief Sales Officer, T57
My core business is not collecting MoUs!
I am in the business of building a learning sales engine that turns every market signal into sharper execution for T57.
At Gulfood 2026, T57 signed over 150 MoUs and LoIs with institutional buyers across dairy, retail, manufacturing, and specialty foods. As a practical sales professional, I know that not all 150 will convert to paying clients. But each one of those signatures matters because they are live data points. They are evidence of who feels the pain most acutely, who is ready to move fastest, and where our go-to-market strategy should focus over the next 12–18 months. As head of sales, my job is to read those signals and tune the T57 sales machine.
The real message behind 150 MoUs and LoIs
On the surface, an MoU or an LoI is a simple document. It is a statement of intent to explore pilots and partnerships once our platform is live. Beneath the surface, it encodes a complex decision-making journey. For a cautious, committee-driven institution to sign an MoU or LoI, several things have already happened: someone has acknowledged a real problem, internal champions have been identified, legal and leadership have weighed in, and there is a shared belief that T57 can be part of the solution.
When I looked across the MoUs and LoIs we signed at Gulfood, I didn’t see a vanity metric. I saw patterns emerging from the noise. Certain categories, such as dairy and private-label manufacturing, leaned in faster than others. Some geographies pushed aggressively for early pilots and beta access, while others preferred to watch and learn before committing to next steps. A distinct subset of buyers consistently framed T57 not as ‘another tool’ but as ‘infrastructure we’ve been waiting for.’ Those patterns are our first dataset. They tell me where urgency is highest and where our value proposition lies without a long education cycle. That, in turn, shapes everything—from which accounts we prioritize to how we resource the first wave of implementations.
From static funnel to feedback loop
Traditional B2B sales views the funnel as a one-way street: leads enter at the top, revenue exits at the bottom, and conversion rates are the key performance metric. At T57, we treat the funnel as a feedback loop, not a conveyor belt. The goal is to ensure that every interaction with a MoU and LoI signatory improves our ability to serve the next one.
In practice, we treat each MoU and LoI as a learning contract long before they become commercial contracts. Before a single dollar of revenue is booked, we already track who responds fastest, who invites more stakeholders into the conversation, and who pushes for specific features or workflows. Our CRM is not just a repository of contacts; it is where we tag and cluster MoU and LoI signatories by category and problem statement. That clustering feeds directly into our product roadmap, content strategy, and partner conversations. Every pilot we schedule with these early institutions is designed to surface specific insights.
We uncover what slows onboarding, which roles inside the customer organization become internal champions, and where we encounter resistance or friction. The ‘output’ of the funnel is not only revenue; it is understanding. The more we learn, the more precise our targeting and messaging become, and the faster we can move the next wave of prospects from curiosity to conviction.
Rewriting our ideal customer profile in real time
Before Gulfood 2026, we had a clear hypothesis about our ideal customer profile. We believed that institutions with cross-border exposure (too much paperwork, too many variables), complex compliance needs, and fragmented systems would feel the pain most acutely. Gulfood validated that thesis and sharpened it in unexpected ways. Some organizations matched our original ICP perfectly on paper, yet moved slowly in practice. Others who initially looked like edge cases became our most enthusiastic MoU and LoI signatories and pushed hardest for early access.
Instead of clinging to the old ICP, we are rewriting it in real time based on observed behavior. We now score accounts not just on size or geography but on demonstrated urgency and internal alignment. We give extra weight to signals such as a CFO joining early conversations or a regulatory team requesting dedicated workshops, because these correlate strongly with serious, sustained intent. Our segmentation is evolving so that our first 12–18 months focus on clusters of institutions and corridors where that urgency and alignment already exist. For potential partners in the food ecosystem, it means that when we come with a joint offering, we are not guessing; we are bringing a tested understanding of who adopts fastest and where network effects will be strongest.
Turning early adopters into co-designers
A learning sales engine doesn’t stop at closing customers; it turns them into co-designers of the future. With our early MoU and LoI partners, we are deliberately blurring the line between buyer and co-creator. We are inviting operational teams, not just executives, into discovery sessions so the workflows we design reflect the messiness and constraints of real-world operations. We are structuring pilots around a small set of measurable outcomes, such as reductions in cycle time and error rates, or in compliance readiness, rather than vague promises of digital transformation.
This is good product practice; more importantly, it is a deliberate sales strategy. When early adopters see their fingerprints on the platform, they become internal champions and external advocates. They help shorten sales cycles within their own organizations and across their networks, and they become the reference points that de-risk decisions for the next wave of institutions.
Why this should matter to partners and investors
If you are a potential partner in the food space, whether you operate in procurement, logistics, finance, compliance, or category management, our approach should tell you something important: we are not spraying and praying. We are instrumenting the entire journey from the first conversation to long-term value. We are building a sales engine that starts with demonstrated intent, not wishful thinking, and uses every interaction to sharpen our view of where the market is truly ready for change. It then converts early demand into a structured learning program, making the next set of deals faster and more predictable.
We are not optimizing for a noisy launch with shallow adoption that looks good for a quarter and then plateaus. We are optimizing for compounding traction built on real signals from institutions, even before our platform goes live. Gulfood 2026 was our first large-scale test of this philosophy. The 150-plus MoUs and LoIs we signed are not the finish line; they are the training data.
As the head of sales, I am not chasing a perfect funnel diagram. I am building a system that learns faster than the market changes. And, in a sector as critical and complex as global food trade, that is how you get off to a flying start and stay ahead.
I am in the business of building a learning sales engine that turns every market signal into sharper execution for T57.
At Gulfood 2026, T57 signed over 150 MoUs and LoIs with institutional buyers across dairy, retail, manufacturing, and specialty foods. As a practical sales professional, I know that not all 150 will convert to paying clients. But each one of those signatures matters because they are live data points. They are evidence of who feels the pain most acutely, who is ready to move fastest, and where our go-to-market strategy should focus over the next 12–18 months. As head of sales, my job is to read those signals and tune the T57 sales machine.
The real message behind 150 MoUs and LoIs
On the surface, an MoU or an LoI is a simple document. It is a statement of intent to explore pilots and partnerships once our platform is live. Beneath the surface, it encodes a complex decision-making journey. For a cautious, committee-driven institution to sign an MoU or LoI, several things have already happened: someone has acknowledged a real problem, internal champions have been identified, legal and leadership have weighed in, and there is a shared belief that T57 can be part of the solution.
When I looked across the MoUs and LoIs we signed at Gulfood, I didn’t see a vanity metric. I saw patterns emerging from the noise. Certain categories, such as dairy and private-label manufacturing, leaned in faster than others. Some geographies pushed aggressively for early pilots and beta access, while others preferred to watch and learn before committing to next steps. A distinct subset of buyers consistently framed T57 not as ‘another tool’ but as ‘infrastructure we’ve been waiting for.’ Those patterns are our first dataset. They tell me where urgency is highest and where our value proposition lies without a long education cycle. That, in turn, shapes everything—from which accounts we prioritize to how we resource the first wave of implementations.
From static funnel to feedback loop
Traditional B2B sales views the funnel as a one-way street: leads enter at the top, revenue exits at the bottom, and conversion rates are the key performance metric. At T57, we treat the funnel as a feedback loop, not a conveyor belt. The goal is to ensure that every interaction with a MoU and LoI signatory improves our ability to serve the next one.
In practice, we treat each MoU and LoI as a learning contract long before they become commercial contracts. Before a single dollar of revenue is booked, we already track who responds fastest, who invites more stakeholders into the conversation, and who pushes for specific features or workflows. Our CRM is not just a repository of contacts; it is where we tag and cluster MoU and LoI signatories by category and problem statement. That clustering feeds directly into our product roadmap, content strategy, and partner conversations. Every pilot we schedule with these early institutions is designed to surface specific insights.
We uncover what slows onboarding, which roles inside the customer organization become internal champions, and where we encounter resistance or friction. The ‘output’ of the funnel is not only revenue; it is understanding. The more we learn, the more precise our targeting and messaging become, and the faster we can move the next wave of prospects from curiosity to conviction.
Rewriting our ideal customer profile in real time
Before Gulfood 2026, we had a clear hypothesis about our ideal customer profile. We believed that institutions with cross-border exposure (too much paperwork, too many variables), complex compliance needs, and fragmented systems would feel the pain most acutely. Gulfood validated that thesis and sharpened it in unexpected ways. Some organizations matched our original ICP perfectly on paper, yet moved slowly in practice. Others who initially looked like edge cases became our most enthusiastic MoU and LoI signatories and pushed hardest for early access.
Instead of clinging to the old ICP, we are rewriting it in real time based on observed behavior. We now score accounts not just on size or geography but on demonstrated urgency and internal alignment. We give extra weight to signals such as a CFO joining early conversations or a regulatory team requesting dedicated workshops, because these correlate strongly with serious, sustained intent. Our segmentation is evolving so that our first 12–18 months focus on clusters of institutions and corridors where that urgency and alignment already exist. For potential partners in the food ecosystem, it means that when we come with a joint offering, we are not guessing; we are bringing a tested understanding of who adopts fastest and where network effects will be strongest.
Turning early adopters into co-designers
A learning sales engine doesn’t stop at closing customers; it turns them into co-designers of the future. With our early MoU and LoI partners, we are deliberately blurring the line between buyer and co-creator. We are inviting operational teams, not just executives, into discovery sessions so the workflows we design reflect the messiness and constraints of real-world operations. We are structuring pilots around a small set of measurable outcomes, such as reductions in cycle time and error rates, or in compliance readiness, rather than vague promises of digital transformation.
This is good product practice; more importantly, it is a deliberate sales strategy. When early adopters see their fingerprints on the platform, they become internal champions and external advocates. They help shorten sales cycles within their own organizations and across their networks, and they become the reference points that de-risk decisions for the next wave of institutions.
Why this should matter to partners and investors
If you are a potential partner in the food space, whether you operate in procurement, logistics, finance, compliance, or category management, our approach should tell you something important: we are not spraying and praying. We are instrumenting the entire journey from the first conversation to long-term value. We are building a sales engine that starts with demonstrated intent, not wishful thinking, and uses every interaction to sharpen our view of where the market is truly ready for change. It then converts early demand into a structured learning program, making the next set of deals faster and more predictable.
We are not optimizing for a noisy launch with shallow adoption that looks good for a quarter and then plateaus. We are optimizing for compounding traction built on real signals from institutions, even before our platform goes live. Gulfood 2026 was our first large-scale test of this philosophy. The 150-plus MoUs and LoIs we signed are not the finish line; they are the training data.
As the head of sales, I am not chasing a perfect funnel diagram. I am building a system that learns faster than the market changes. And, in a sector as critical and complex as global food trade, that is how you get off to a flying start and stay ahead.
