Data Engineering, Accelerated

Manifold designs, builds, deploys, and manages complex data applications and infrastructure at scale.


 
 
 
quotationManifold achieved in 3 months and a team of 4 what could have taken 12 months and a team of 10. They have a unique ability to navigate the maze of product and architecture decisions for AI products.

— SVP TECHNOLOGY 
Global 500 Electronics Conglomerate



 

Key Team Members

Our team has a track record at companies like Google, HubSpot, Kayak, Qualcomm, Marqeta, and Uber. We speak at a variety of industry events—including Strata, ODSC, and Enterprise Data World—and have been featured in publications such as Entrepreneur, TheNextWeb, ReadWrite, and KD Nuggets.

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VINAY SETH MOHTA

CEO

  • CTO, CISO, Co-Founder, Kyruus
  • Product Manager, Kayak
  • CTO, Global Health Delivery
  • Architect & Product Manager, Endeca Technologies
  • Developer, The MathWorks
  • Multiple patents (text search, faceted navigation)
  • MEng & BS, EECS – MIT

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JAKOV KUCAN

Senior Architect

  • Chief Architect, Kyruus
  • Director of Product Strategy, PTC Mathcad 
  • Software Architect, Mathsoft
  • Co-founder/Engineer/Architect/V.P. and Chief Scientist, Centive
  • PhD, Computer Science — MIT; MA, Mathematics, BSE, Computer Science and Engineering — UPenn

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WASSAF FAROOQI

Director, Engineering

  • VP Engineering, Kyruus
  • Software Engineer, HubSpot
  • Software Engineer, EMC
  • BS, Computer Engineering – Northeastern University

Approach

How We Harness 10x Engineering

Software product development is often described as a decision maze of product-market and technology choices. A 10x engineer is able to expertly navigate that maze.

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How We Produce Results with Lean AI

At its core, Lean AI is a set of mental models that help teams work together smoothly to deliver business value faster when implementing AI in their organization.

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How We Work with Clients

We can help accelerate your data projects. See how working with us reduces risk substantially, and explore what a project with Manifold looks like day to day.

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Perspectives

YOUR PROJECT NEEDS A DATA READINESS AUDIT
 

In our work, we have found our “AI Uncertainty Principle” to be a useful heuristic to keep in mind. Before starting big projects, we strongly recommend protecting your organization from costly missteps by performing some form of AI Data Readiness audit.

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EFFICIENT DATA ENGINEERING

 

The ETL process gets interesting when data volumes are large, and you have to consider performance. In this article, we offer some tips on re-structuring the software engineering process and leveraging the cloud to make iteration more efficient.

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INCREMENTAL SYNCHRONIZATION: REPLICATING ACTIONS VS. STATE

Whenever searching for an optimal solution to a problem, one is faced with design decisions on the appropriate architecture and approach. This post discusses one such problem, in order to highlight key decision points.

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