The challenge
Challenging Margins in the Manufacturing Industry make AI adoption and AI use cases increasingly important to drastically improve their EBITDA. There are 2 broad recurring themes in this industry.
Not enough exposure to
Agentic AI solutions:
Lack of clear business cases/ROI examples
Workforce skill gaps to implement/maintain Agentic AI systems
Capital constraints and integration burden
Businesses are fraught with
operational complexities:
High fixed costs, expensive rework and low pricing power
Labor efficiency is hard to scale
Inventory ties up capital
Scheduling and project coordination complexity
The Thryve approach
No two businesses are alike, which means their AI shouldn’t be either. With unique offerings, customers, processes and data, each company needs AI built for its context.
By optimizing value-chain functions like inventory, pricing and customer touchpoints, AI improves operations and builds competitive advantage - driving faster growth, wider margins and higher profits.
Build the strategy
Business objectives and strategy
Opportunity discovery and assessment
AI strategy and roadmap
Implement the vision
Cross-functional scorecard development
AI-aware and engaged organization
Agentic AI design and development
Sustain and monitor
Adoption and change management
Scale, optimization and value tracking
Our AI solutions
Most AI tools stop at suggesting what you could do. We’re building agents that actually do it - across tools, data and systems, while learning from feedback and improving over time.
Our focus is high-stakes, high-complexity work where autonomy, reliability and guardrails matter as much as intelligence. We’re in stealth as we scale the core technology and early deployments.
Goal-driven
You define the outcomes; agents handle the in-between.
Tool-native
Works across your existing tech stack without ripping and replacing.
Governed autonomy
Designed for auditable, safe execution.
Continual improvement
Better performance with every run.
