Collaborative Overview
Rosenblatt is an AI product development firm that builds AI-first MVPs for startups and mid-market companies.
Rosenblatt is an AI product development firm that builds AI-first MVPs for startups and mid-market companies.
Rosenblatt builds production AI systems, not prototypes. We specialize in the language-intensive, knowledge work that defines professional services, automating routine operations through multi-agent systems, retrieval-augmented generation, tool-calling integrations, and computer vision for document processing. Over the past two years, we have delivered 12 AI products for clients ranging from early-stage startups to mid-market companies backed by private equity.
Overview: ProService Hawaii is a leading provider of HR and PEO services ($500M ARR, PE-backed), leveraging AI to streamline onboarding and improve client outcomes.
Project: Fridai — A multi-agent onboarding system using Claude Sonnet that pre-fills 80% of client data from sales call transcripts, with human-in-the-loop escalation when confidence is low.
Project: ProPilot — A call center copilot using Claude Sonnet, integrated with Snowflake via GraphRAG and launched in three weeks to support frontline agents in real time.
Overview: Salient Management is a leading CPG sales data collection and analysis company ($25M ARR) leveraging AI for sales forecasting.
What we built: Trained grouped Prophet models to allow hierarchical forecasting across stores, brands, and products on sparse weekly CPG sales data.
What we built: Cyber threat detection agent powered by Claude Sonnet using GraphRAG with Claude Haiku for ontology building, plus Text2SQL tool calling, to help an early-stage company raise its seed round.
We work on an ongoing, flexible retainer. No fixed phases, no multi-tier packages, just an AI engineering partner integrated with your team for as long as it delivers value. You only pay for the time and compute the work actually requires.
AI team leads working alongside your team, scaling up or down as priorities shift.
Model compute billed transparently at cost, with no markup on inference.
One basic contract covering discovery, build, and ongoing iterations.
Since our founding in 2024, our engineers have worked exclusively with AI-first coding editors, shipping higher-quality code faster than traditional development workflows allow.
We identified early that foundation models routinely overlook security. We adopted SOC 2 practices to ensure every line of code meets compliance standards from day one.
We deploy teams of AI agents guided by experienced AI team leads, combining security rigor with cutting-edge automation to keep our delivery velocity best in class.
Less than 5 years from undergrad to Director of AI Engineering at a Silver Lake portfolio company, inserted by their Operating Executive of Data and AI. Second-time founder, Techstars '23 and AWS Accelerator '22 alumni. 10x'd revenue from year 1 to 2. Led production AI training and deployments in multi-agent systems, image search and captioning, learning to rank, and media mix modeling at both startups and enterprises.
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Backgrounds from Johns Hopkins, UVA, NYU, and Georgia Tech. Prior experience at PwC, Deloitte, Amazon, and the US Air Force.
Not just a collection of system prompts, but well-harnessed autonomous agents, across multiple providers, designed to solve complex problems.
If AI-first product development is worth exploring for your business, book a working session and we will walk through where AI can have the most immediate impact and scope a first pilot together.
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