AWS Software / SaaS United States

Instabase

Document Processing · Enterprise Knowledge Search

Applied artificial intelligence (AI) company Instabase Inc . is on the leading edge of generative AI (GenAI) and serves multiple top 10 global banks and other large enterprises such as Axa and Sonic Automotive.

20 percent
20% improvement in performance using Amazon EC2 M6i Instances
3 months
30 percent

Reported impact

Business outcome

Its launch in June 2023 was only the beginning for AI Hub. There are new features and improvements in its product pipeline, and using AWS, Instabase doesn’t have to think about the infrastructure and can innovate more freely. The company is also using AWS to pivot its solutions to new technologies and improve things such as multitenancy in a more secure way.

  • Cost Reduction
  • Speed to Market

Solution

Applied artificial intelligence (AI) company Instabase Inc . is on the leading edge of generative AI (GenAI) and serves multiple top 10 global banks and other large enterprises such as Axa and Sonic Automotive. Learn how Instabase in the software and internet industry built AI Hub, a generative AI solution based on large language models, using AWS. Key services included Amazon Elastic Kubernetes Service runs containerized services and scales application workloads across clusters; Amazon Elastic Compute Cloud provides scalable compute capacity for application services or ai workloads; Amazon S3 stores documents, media, telemetry, or training data durably at scale; Amazon OpenSearch Service stores and retrieves indexed or vectorized content for search and rag workflows. Its launch in June 2023 was only the beginning for AI Hub.

Solution architecture

4 components · 3 layers
  1. Compute
    • Amazon Elastic Compute Cloud Provides scalable compute capacity for application services or AI workloads.
  2. Storage
    • Amazon S3 Stores documents, media, telemetry, or training data durably at scale.
    • Amazon OpenSearch Service Stores and retrieves indexed or vectorized content for search and RAG workflows.
  3. Orchestration
    • Amazon Elastic Kubernetes Service Runs containerized services and scales application workloads across clusters.

Evidence from the source

Applied artificial intelligence (AI) company Instabase Inc .
Instabase was founded in 2015 and specializes in processing semistructured and unstructured data of various formats in the intelligent document processing space.
The whole system runs on Amazon EC2 Instances, and because there are appropriate instances for every workload, Instabase saves 30 percent on compute costs.
When a document is uploaded, AI Hub digitizes the document and encodes it before processing it through the selected large language model.
With the popularity of products launched into the GenAI market in November 2022, Instabase heavily invested in building its product using large language model technology.
is on the leading edge of generative AI (GenAI) and serves multiple top 10 global banks and other large enterprises such as Axa and Sonic Automotive.
Transparency Evidence & methodology 85/100 reference value · 85% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth10/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    3 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. AWS

    Instabase customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/instabase-ec2-case-study/
    Source type
    Vendor-published customer story
    Published
    Jan 31, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.