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Seraf

Seraf AI: Manufacturing Knowledge Assistant with RAG-Powered Evidence Retrieval Across ERP and CRM Systems

Seraf

Seed to Series A Startup
Company Type
Chicago, United States
Location
Team augmentation
Engagement Model
6 - 10 people
Team Size
6 - 9 Months
Duration
$100K - $150K
Budget

About

Seraf needed to extend their engineering team to build an AI assistant giving manufacturing sales and support teams instant access to expert knowledge locked across ERP, CRM, SharePoint, and PDM systems. UppLabs engineers integrated directly into Seraf's development workflow, building a RAG-based architecture connecting Acumatica, NetSuite, SAP, Salesforce, and HubSpot into a unified vectorized knowledge layer with custom guardrails.

Challenge, approach, and impact

Knowledge Fragmented Across Disconnected Systems

Manufacturing sales, quoting, and support teams needed instant access to product specs, pricing logic, and technical expertise, but this knowledge was locked across ERP, CRM, SharePoint, and PDM systems with no unified retrieval layer.

Zero Tolerance for Implementation Downtime

Manufacturing clients could not afford lengthy AI rollouts disrupting active sales and support operations. The platform needed to deploy in days, not months, while integrating with systems as varied as Acumatica, NetSuite, SAP, Salesforce, and HubSpot.

Domain-Specific Accuracy Without Hallucination Risk

Generic LLM responses posed a real business risk if a quote or technical answer contained incorrect pricing logic or specifications. The system required strict guardrails ensuring AI responses always aligned with how each specific business actually operated. 4.

Data Privacy Without Cloud Exposure

Manufacturing clients required private, on-premises deployment with no external data sharing, ruling out standard cloud-hosted RAG architectures and demanding a security-first infrastructure design.

How we built

AI & ML Solutions
Conversational AI
Enterprise Software
SaaS
API
Data Analytics and Visualization

Testimonials

Victorio Pellicano

Seraf

Verified Testimonial

UppLabs helped us build a RAG architecture that unifies knowledge across ERP, CRM, and document systems our manufacturing clients already use. Their engineers integrated directly into our development process and delivered an on-premises deployment model that goes live in 7 days. That speed and security focus is exactly what manufacturing clients need to trust AI with their data.

Team structure

Client team

Victorio Pellicano's avatar

Victorio Pellicano

Founder and CEO

Project stakeholder

The client stakeholders at Seraf were working closely with the team at UppLabs

Agency team

3 x Backend Developer's avatar

3 x Backend Developer

Production

2 x ML Engineer's avatar

2 x ML Engineer

Production

1 x DevOps Engineer's avatar

1 x DevOps Engineer

Governance

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