Valere

BACKGROUND

Please describe your company and position.

I am the CEO/Co-Founder of WinMoreBD.ai

Describe what your company does in a single sentence.

I’m the CEO and co-founder of WinMoreBD.ai. We build an AI-native business development and capture strategy platform purpose-built to deliver wins to U.S. federal government contractors.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Valere to accomplish?

• We needed a development partner to build a production-ready, AWS-native, multi-tenant AI SaaS platform that automates the federal capture lifecycle. The bar was significantly higher than a typical SaaS build. Our platform handles sensitive data across tenants who may compete against one another, so strict tenant isolation was non-negotiable. We needed an architecture aligned with a FedRAMP Equivalency roadmap from day one, and an AI layer built natively on AWS managed services. Beyond the technical complexity, our product automates a deeply specialized business process with many interdependent steps. This complexity is the world that our customer live in every day as they compete for contracts ranging from multiple hundreds of millions to multiple billions in total contract value. The demand for precision and excellence is high, and we needed a partner to help us deliver.

SOLUTION

How did you find Valere?

Online Search

Why did you select Valere over others?

• High ratings
• Great culture fit
• Company values aligned
• Other

How many teammates from Valere were assigned to this project?

6-10 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Valere designed and built three coordinated codebases on AWS: a TypeScript backend, a Python AI-pipeline codebase, and a React/Next.js frontend. Everything deployed via infrastructure as code across staged environments, with production isolated in its own VPC. Key deliverables included: • Multi-tenant architecture with strict tenant isolation across Aurora Serverless v2, Neptune Serverless, OpenSearch, DynamoDB, and S3, with tenant-scoped authentication via Amazon Cognito and authorization enforced at the API edge. • A document ingestion and AI pipeline orchestrated by AWS Step Functions, using Amazon Textract for OCR and vector embeddings for retrieval, integrated with a Neptune knowledge graph. • A conversational Bid Assistant built as a multi-stage retrieval-augmented generation (RAG) pipeline on Amazon Bedrock, with prompt and model selection configurable at runtime via AWS AppConfig—allowing us to roll out new models and strategies without redeployment. • An event-driven backbone using SQS, SNS, and EventBridge for audit logging and asynchronous processing. • A server-rendered Next.js frontend containerized on ECS/Fargate. • Complete UX/UI design, from research through final deliverables in Figma.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The platform is live and generating revenue. Enterprise government contractors are using it to make better capture decisions and win more work. The most concrete outcome: our system generates capture intelligence reports on some of the largest and most complex federal programs in approximately one hour—work that previously required four to six weeks of manual effort from senior capture managers. Our platform gives BD teams an unfiltered assessment of how well they are actually positioned to win a given opportunity, along with detailed action items to improve their position. Companies using our system are applying that rigor across their entire pipeline—no-bidding work they have no real chance at winning and focusing resources on the opportunities where they are best positioned. That decision support, applied at the enterprise level, is helping our clients implement the right strategies on the right opportunities. The architectural decisions are performing well in production, and the platform is the foundation for our vision of a true human-AI partnership in business development.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Yes, with the context that this was a genuinely difficult engagement from the start. We are building something that doesn’t have a playbook—deep vertical AI-SaaS for a highly regulated, highly specialized market. Nobody involved had done exactly this before. The co-founders were translating decades of domain expertise into product requirements for the first time. Our CTO was bridging the gap between business vision and engineering execution. And the Valere team was learning an entirely new vertical with a customer base that does not tolerate mistakes on exceptionally tight deadlines. The early weeks required resetting scope and sequencing as the full complexity of our vision became clear. We were contractually obligated to deliver an MVP to clients who had already signed licenses, so the deadlines were real and non-negotiable. What mattered is how the team responded: everyone learned to work as one integrated unit. The co-founders brought the subject matter expertise, our CTO brought enterprise software standards and served as the translator, and the Valere team brought their creativity, technical talent, and a willingness to adapt to a demanding development process. The team hit the milestones that mattered, including the deadlines gating our early-access launch. Now we’re regularly selling to enterprise clients while adding additional functionality every sprint.

What was your primary form of communication with Valere?

• In-Person Meeting
• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

The people. Valere delivered a team of intelligent, creative, and opinionated developers who are open to change, adaptive, and willing to learn why things have to be done a certain way in a very complicated environment. They brainstorm with us, execute our requirements, and bring their own ideas and experience to solving problems that are numerous and ongoing. Valere provided the team that, alongside our founders and CTO, turned a vision into working software that our clients are using to win. This is not a project that a staffing firm could deliver, and I’m grateful everyday that we selected Valere. 

Are there any areas for improvement or something Valere could have done differently?

The early phase of the engagement required more time to align than either side anticipated. The complexity of our vision and the specialized nature of our market meant there was a genuine learning curve for everyone involved. But that’s the nature of building something nobody has built before. The team adapted, we found our rhythm, and now we’re delivering everyday for our customers.