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.
We mapped each of our AI Team Leads against the CREATE-X portfolio, matching their domain expertise to the companies where they'd add value fastest. Below are the top three fits per lead.
Their AI-native platform connects research data across internal tools to automate research ops. Eugene built agentic GenAI prototypes and embedding/RAG systems at Deloitte that turned unstructured data into product decisions, a direct line to Unveil's recruitment and insight workflows.
LegalyzerAI extracts obligations, deadlines, and compliance terms from contracts using models trained on legal datasets. Eugene led document-generation and RFP-automation builds (60% time savings) and a State Dept RAG pilot, exactly the extract-and-summarize problem at scale.
Queues turns computer-vision sensors into real-time wait-time data embedded in mobile apps. Eugene's production deployments and AWS big-data infrastructure (PostgreSQL, Athena, EMR) fit a company that lives or dies on reliable, embeddable analytics pipelines.
ZenVR builds virtual-reality experiences as its core product. Justin spent a decade at PwC's Emerging Tech Hub shipping production AR/VR and led the UGA-ACM Game Development group. He speaks the immersive-experience stack natively.
iSimu runs a room-scale VR studio with a custom game launcher across a large title library. Justin's AR/VR plus Android/mobile and game-development background maps cleanly onto launcher engineering and multi-experience delivery.
Quency delivers immersive AR for 3D/4D ultrasound viewing with remote-participant interaction. Justin's immersive-AR expertise applied to a real-time medical imaging product is a high-leverage pairing on a hardware-meets-experience challenge.
Barometer's AI rates podcast content for bias, formality, and sensationalism for brand suitability. Owen's computational-linguistics master's and language-modeling work are tailor-made for nuanced content analysis, and the seed-funded NYC team shares his backyard.
iterate.tools turns natural-language input into customized websites. As a product engineer and technical founder (Techstars-backed HotDrop), Owen pairs language-model fluency with shipping NL-to-product builds end-to-end.
Tootee builds language-independent conversation bots with ML and deep learning. Owen's language-modeling internship at DigitalGenius was on exactly this conversational-AI problem, backed by his computational-linguistics research.
Aenea builds custom AI agents for clinics: pattern recognition, predictive analysis, and risk protocols that automate tasks normal agents can't. Sage leads AI MVP development on AWS, turning research-stage models into production agent systems founders can actually ship.
Qtack develops AI embedding models and training frameworks to make data representation and search efficient at scale. Sage's ML-infrastructure and performance work, including a 90% API overhaul and her Searchbeaute AI search project, fits a team optimizing models for production.
Tactile+ makes hands-on STEM kits teaching mechanical and gear-system engineering. Sage's computer-engineering background, applied-physics-lab research, and ML-via-video-game teaching project give her real credibility steering an engineering-education product.
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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