AI & Machine Learning · Partnership Case Study
Lattice AI
Lattice turns technology partnerships into a pipeline of operational AI projects.
The problem.
Lattice maintained specialized human expertise, but AI training and evaluation programs arrived in large, irregular waves and were concentrated among too few buyers. Gaps between programs left expert capacity underused, while customer concentration made revenue vulnerable to a single lab changing budgets or model priorities.The Solution
FireSquid identified and introduced AI labs, foundation-model companies, enterprise AI teams, and AI research organizations. Lattice then developed those relationships into a scalable channel for expert data generation, model evaluation, human feedback, and AI training programs. The result is a broader, steadier portfolio of AI programs—improving expert utilization, reducing customer concentration risk, and growing recurring data and evaluation revenue.The partnership process.
Four coordinated phases turn a growth objective into a focused one-to-many partner motion.
The fractional team
behind every partnership.
Partnership executives, marketing, operations, and technical support work as one accountable department.
01Builds the partnership strategy, opens relationships, and qualifies high-value opportunities.
Fractional Partnerships ExecutivePartner outreach & relationship development
02Researches partner behavior, develops decision-maker profiles, and builds focused lists.
Fractional Marketing ManagerResearch, profiles & partner intent
03Coordinates partner outreach, goals, qualification workflows, reporting, and continuous improvement.
Partnership Operations ManagerPartner operations & weekly reporting
04Runs domains, warming, validation, CRM automation, calling systems, and channel health.
Back Office & IT SupportInfrastructure, automation & deliverability