VizopsAI, Inc
Empower enterprises to turn any AI agent into a production-grade, ROI-focused system by applying research-backed, proprietary reinforcement learning optimizers.
At a Glance
- Enterprise (Retail, Financial Services, Insurance)
- Mid-market Debt Agencies
- Legal Tech
- Logistics & CPG
AI Tools by VizopsAI, Inc
(1)
VizPy
DSPy Prompt Optimization Library
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Latest News
VizopsAI Released a SOTA Prompt Optimizer that beats traditional prompt engineering.
CTO Pushpendre Rastogi speaks at Scaling Intelligence Reading Group on Multi-Objective RL.
VizopsAI shares RL deployment insights with Meta, UC Berkeley, and Stanford.
Insights released on exploration collapse in LLMs and stabilizing agents with EigenData and RLVR.
Products & Services
A modular optimization platform that allows enterprises to optimize existing agents or build new ones with built-in reinforcement learning pipelines.
A proprietary model optimized for high retrieval accuracy (96.2%) and low inference costs (99% cheaper than Claude Opus).
Specialized agentic workflow for legacy migration and modernizing massive codebases.
Optimizes high-throughput voice AI agents for latency, cost, and task completion.
Market Position
Vizops differentiates by moving beyond prompt engineering to deep post-training optimization (MORL). It offers performance parity with frontier models at 1/100th the cost and superior reliability.
Leadership
Founders
Pushpak Pujari
CEO. Former Director of Product at Verkada, AWS IoT, and Sony. Education: The Wharton School (MBA), IIT Delhi.
Pushpendre Rastogi
CTO. Former Senior Scientist at Google DeepMind, Amazon Alexa, and Lab126. Education: PhD from Johns Hopkins University (NLP and Deep Learning), IIT Delhi.
Executive Team
Pushpak Pujari
Chief Executive Officer
Experienced AI product leader, formerly at Verkada, AWS IoT, and Sony.
Pushpendre Rastogi
Chief Technology Officer
NLP and RL expert, formerly at DeepMind and Amazon Alexa. PhD from Johns Hopkins.
Founding Story
Vizops was started to solve the 'prototype ceiling' where 90% of AI agent prototypes never reach production. The founders leverage their backgrounds at DeepMind and AWS to bring industrial-grade RL optimization to enterprise workflows.
Business Model
Revenue Model
Enterprise platform (SaaS/B2B) providing an optimization layer for AI agents. Model-agnostic pricing likely based on usage or enterprise license agreements.
Pricing Tiers
Includes Tune (optimizing existing agents) and Create (building new agents) paths, VPC deployment, and proprietary optimizers (MORL, GRPO).
Target Markets
- Enterprise (Retail, Financial Services, Insurance)
- Mid-market Debt Agencies
- Legal Tech
- Logistics & CPG
- E-commerce Cart Recovery
- Voice-AI Call Center Capacity
- Enterprise Tier-1 Support Automation
- Legacy Codebase Migration
- Secure Legal Discovery
- Logistics and Customs Workflow Automation
- National Specialty Retailer
- Mid-market Debt Agency
- Top-10 US Insurer
- F500 CPG Giant