The power of natural language processing without the headache

Natural Language Processing as a Service

We manage the introduction of NLP into an organization or initiative, from architecture design to codebase to live software if needed, focusing on ROI and cloud technologies.

What Gaussian clients see

Our approach is fast and high impact, and our clients expect nothing less.

NLP tech that actually meets a business objective

Tech that is scalable to demand increases, robust against failures, built on resilient infrastructures

Timing: 12-18 months

Engagement phases

Our work is highly accountable. While we work closely with clients to determine collaboratively what the specific needs and deliverables are, typial engagements in the past has included the following:

NLP planning and architecture
  • ROI-driven prioritization of features with full senior buy-in
  • Use of cloud platforms (e.g. AWS) and Gaussian ML software (e.g. Visor) as appropriate to requirements
NLP deployment
  • Ultra-lean codebase that leverages open source or cost-effective services to reduce risk and expense
  • Focus on easily used interfaces, especially for ML tagging and rule definition
  • Robust and compliant data and deployment pipelines
Ongoing NLP service
  • Assistance with compliance and IT security as necessary
  • Continual use of Gaussian NLP tools
case study snippet

ML Data Co

  • Developed B2B SaaS product driven by NLP technology for financial research/quant fund industry
  • Fully built and managed technology stack, including infrastructure, codebase, and compliance

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NLP projects leverage open source tools like doccano for tagging
Build, solve, innovate

Let's talk.

Let's get to the bottom of your strategy and tech challenges around
Natural Language Processing as a Service
. One of our partners in your industry will talk to you, and see if we can help you tackle them—ideally, without even having to engage us. We are thrilled to meet smart, fast-paced leaders and can't wait for the outcomes we'll achieve together.

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