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Tessera Labs Tech Stack

Multi-agent AI platform for accelerated ERP transformation and system integration

Software Development San Jose, California 51–200 employees Founded 2024 Privately Held

Tessera Labs builds a multi-agent AI platform designed to compress ERP transformations from years to weeks. The stack reveals a dual-layer architecture: enterprise system connectors (SAP, Oracle, Salesforce, Workday, NetSuite, ServiceNow) paired with modern data infrastructure (Kafka, PostgreSQL, Snowflake, MuleSoft). Heavy adoption of SAP S/4HANA and SAP Cloud APIs, plus active migration away from legacy SAP ECC and Dynamics 365, indicates Tessera positions itself as a modernization accelerator. The engineering-dominant hiring profile (26 of 39 roles) skewed toward senior and lead positions signals deep technical execution focus on agentic workflows and multi-system orchestration.

Tech Stack 60 technologies

Core StackAWS Python FastAPI PostgreSQL MySQL Redis Kafka RabbitMQ SAP Salesforce Workday Snowflake MuleSoft Oracle ServiceNow Cursor ABAP NetSuite SQLAlchemy Pub/Sub GCP Azure Blob Storage OAuth 2.0 GCS PLM Replit SAP FI SAP CO Oracle ERP Oracle Fusion+29 more
AdoptingSAP S/4HANA SAP Cloud Application Programming Kyma Cloud Foundry SAP Integration Suite
ReplacingDynamics 365 SAP ECC

What Tessera Labs Is Building

Challenges

  • Complex business workflows across platforms
  • Onboarding enterprise environments under strict security constraints
  • Eliminating inefficiencies
  • Moving beyond traditional erp constraints
  • Modernizing core systems
  • Optimizing operations across enterprises
  • Enabling seamless integrations across platforms
  • Governance and trust
  • Complex multi-system processes
  • Competitive tech markets

Active Projects

  • Data pipelines
  • Ai automation platform backend
  • Data harmonization logic
  • Sap ecc to s/4hana migration
  • Multi-agent ai modernization program
  • Interactive dashboards
  • Design system for mosaic platform
  • Governance and audit experiences
  • Agentic workflows
  • New code and application development for complex multi-erp systems

Hiring Activity

Accelerating40 roles · 25 in 30d

Department

Engineering
26
Product
7
Data
2
Finance
1
HR
1

Seniority

Senior
21
Mid
12
Intern
3
Lead
1
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About Tessera Labs

Tessera Labs operates a vendor-agnostic platform for enterprise ERP transformation, targeting mid-market and large organizations with complex, multi-system environments. The company claims to reduce transformation timelines by 90% and costs by 50% through intelligent automation of data harmonization, system integration, and workflow orchestration. The tech stack spans connectors to major ERP vendors (SAP, Oracle, Salesforce, Workday) and modern cloud infrastructure (AWS, GCP, Azure). Founded in 2024 and based in San Jose, Tessera currently employs 51–200 people, with active hiring concentrated in engineering, product, and data functions. The platform targets regulated industries and emphasizes security, governance, and avoiding vendor lock-in through adaptive intelligence.

HeadquartersSan Jose, California
Company Size51–200 employees
Founded2024
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Tessera Labs use?

Python, FastAPI, PostgreSQL, MySQL, Redis, Kafka, RabbitMQ, AWS, GCP, Azure. Integrates with SAP, Oracle, Salesforce, Workday, NetSuite, ServiceNow, MuleSoft, Snowflake. Currently adopting SAP S/4HANA, SAP Cloud APIs, and Kyma.

What ERP systems does Tessera Labs support?

SAP (ECC, S/4HANA, FI, CO), Oracle (ERP, Fusion), Salesforce, Workday, NetSuite, ServiceNow, MuleSoft, and others. Actively migrating customers from SAP ECC to S/4HANA and away from Dynamics 365.

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How this profile is built

Tessera Labs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.