Case Studies

Learn more about how Project Brains has helped businesses problem-solve with fractional specialists.

 
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  • The company’s self-funded founders had built an engaged user community and found the first few enterprise clients for their offering. This was however designed for service-based revenue, and not on recurring basis.

    Our specialist created a monetisation plan backed by a sales & marketing strategy to move enterprise users to an ongoing benefit plan.

    Result: The company founders converted two enterprise clients to recurring revenue within 2 months.

  • A seed funded enterprise AI/ML company had technical founders. They were taking their beta product to the market. One of the co-founders was leading sales, but focused only on the direct sales channel. Due to lack of experience, know-how and a network, they struggled to identify the right partnership proposition.

    Our specialist created partnership scaling plan, originated partner accounts, and negotiated their first partnership deal.

    Result: Forward Annual Recurring Revenue grew 4x within one quarter.

  • A large PE-funded content and data insights business had good business traction in the ESG domain in the US, but less in UK & Europe. Their previous European sales approach was focussed on selling standard product configuration into key accounts, but was not as successful as they wished.

    Our specialist rapidly created the necessary Go To Market positioning to offer the product as an enrichment and discovery-oriented offering to the investments, lending and resources sectors. Our specialist worked closely with the international sales and marketing teams to align content and campaigns.

    Result: Business was able to rapidly reposition its ESG offering for the European market, leading to new revenues and accounts.

  • A venture backed B2B SaaS company had demonstrated product market fit in the US and eastern Europe. They wished to achieve a rapid entry into the western European markets.

    Our specialists rapidly created the necessary collateral and target list to create partnerships for the company with a range of mid-sized consulting, systems integration and reselling companies in UK. Our specialist worked closely with the company management to align pitches and drive partnership arrangements.

    Result: Business was able to rapidly enter UK market as proof of concept for rapid European market entry, leading to new revenues and accounts.

  • Our client is a global consultancy in finance setting up a FinTech Lab to foster rapid growth.

    Our specialists provided design thinking, strategy and opportunity mapping, go to market, technology architecture and project management skills to set up new ways of working.

    Result: Rapid activation of new revenue channels

  • Pre-seed payments Fintech company had built a product MVP and now needed seed funding to take it to the market.

    Our specialist helped the founders by refining their GTM plan, building an information memo, and drawing up a target investor list. The specialist then coached the founders through the raise.

    Result: Raised £300k Seed round within 8 weeks.

  • The seed-funded company had pilots underway with a world-leading enterprise client in property & casualty insurance. However these were paused because the vendor management department in the client found them to be non-compliant on a number of crucial factors.

    Our specialist rapidly created the necessary policy as well as plan for regulatory analysis & information security. Our specialist also coached the founders on how to manage communications the enterprise client, relevant certification authorities and auditors.

    Result: Client vendor management approval was obtained within 10 weeks, followed shortly by an Information Security certification.

  • Our client is a data services company in sustainability and climate change. They had conventional forecasting models for emissions markets.

    Our specialist helped by establishing MLOps and ML models for granular price forecasting to the desired level of specificity and sensitivity

    Result: Product innovation and new business opportunities.

  • The financial business used conventional risk management based on advanced models and risk triggers.

    Our specialist led a team of Data Scientists and Engineers to build a machine learning based early warning MVP to improve risk and client procedures.

    Result: Improved risk management triggers and client insights

  • The business used conventional supply chain and ERP systems architecture with high cost of operations and maintenance.

    Our technical team built first stage of open solution using Distributed Ledger Technology to improve speed and quality of supply chain data exchange, as well as reduce ops costs.

    Results: Business is able to move with confidence on their technical roadmap.