How We Deploy
Two ways to scale enterprise AI operations.
Whether you need a full managed operation or a targeted automation layer, BergLabs deploys around the workflow you already have - with the people, the platform, and the accountability your enterprise expects.
99.2%SLA adherence
98.2%QA pass rate
1.8%Exception rate
300%YoY ops volume growth
Global payments network engagementIndia’s largest e-retailerA European robotics companyA mid-market BFSI firmGlobal payments network engagementIndia’s largest e-retailerA European robotics companyA mid-market BFSI firmGlobal payments network engagementIndia’s largest e-retailerA European robotics companyA mid-market BFSI firmGlobal payments network engagementIndia’s largest e-retailerA European robotics companyA mid-market BFSI firmGlobal payments network engagementIndia’s largest e-retailerA European robotics companyA mid-market BFSI firmGlobal payments network engagementIndia’s largest e-retailerA European robotics companyA mid-market BFSI firm
Deployment paths
Pick the path. Keep the discipline.
ServiceMO
Managed Operations
We own the queue. You own the outcome. Specialist pods, SLA tracking, QA sampling, and weekly reporting - deployed as a service.
Learn moreAutomationWA
Workflow Automation
AI handles the repeatable steps. Human reviewers approve the exceptions. Confidence-gated, audited, and reportable from day one.
Learn moreStart here
Where do you need control first?
“I need to run a high-volume queue reliably.”
Managed Operations“I want to automate a specific workflow step.”
Workflow Automation“I’m building AI training data at scale.”
Data Sourcing & Curating“I’m working on robotics or spatial AI.”
Physical IntelligenceNext step
Prove it on one workflow.
Every engagement starts with a structured 4-week pilot. Evidence before scale.