AWS Software / SaaS India

Kytes

Document Processing · Enterprise Knowledge Search

Established in 2021 Kytes is a platform that distributes a broad range of content types, including interactive reports, statements, videos, and eBooks, while harnessing artificial intelligence (AI) to enhance content. Shortly after its launch, Kytes sought to incorporate generative AI to enhance customer experiences and extract value from its content.

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40‒50%

In addition, users are rating their experiences of the generative AI–based services with 4.5 or 5 stars out of 5.

Kytes launched these applications around September 2023.

Since launching its generative AI applications on AWS, Kytes has increased platform adoption by an estimated 40‒50 percent.

Reported impact

Business outcome

Since launching its generative AI applications on AWS, Kytes has increased platform adoption by an estimated 40‒50 percent. In addition, users are rating their experiences of the generative AI–based services with 4.5 or 5 stars out of 5. Key reported metrics include increase in platform adoption 40‒50%; 40‒50%; fewer DevOps resources consumed 70%.

Solution

Kytes transformed its platform's capabilities with generative artificial intelligence (AI) applications built with Amazon Bedrock and Amazon Titan, alongside Anthropic's Claude 3 Sonnet, increasing adoption rates and reducing development time. Kytes , a company specializing in secure content experience and sharing, aimed to enhance its platform by integrating generative AI technology. To achieve this, Kytes worked closely with Amazon Web Services (AWS) to develop innovative generative AI based applications. Kytes implemented Amazon Bedrock alongside Anthropic's Claude in Amazon Bedrock and Amazon Titan to develop generative AI–powered services. This integration boosted adoption rates by 40‒50 percent, while achieving a 70 percent reduction in DevOps resources. Source data enters the Kytes workflow through its application services, processed with Anthropic Claude 3, Claude 3 Sonnet, Amazon Bedrock.

Data flow

Source data enters the Kytes workflow through its application services, processed with Anthropic Claude 3, Claude 3 Sonnet, Amazon Bedrock.

Solution architecture

7 components · 1 layer

Compute
- Anthropic Claude 3 Serves as the primary large language model for generation, analysis, or reasoning tasks.
- Claude 3 Sonnet Serves as the primary large language model for generation or analysis tasks.
- Amazon Bedrock Hosts the foundation models and inference APIs that power the generative AI features.
- Amazon Titan Provides Amazon foundation models used for embeddings, text, or image generation tasks.
- Amazon SageMaker Supports model training, fine-tuning, evaluation, or managed inference for the customer workload.
- Amazon EC2 Provides configurable compute capacity for application, training, or inference workloads.
- Amazon Titan Embeddings Converts text into vectors for retrieval, ranking, or similarity search.

Architecture clues

However, the AWS team suggested adopting the foundation model Amazon Titan, along with Amazon Titan Embeddings to convert natural language text, such as words or phrases, into numerical representations or vectors.
Once we grasped how vectors could produce faster, more accurate outputs, we transitioned to using Amazon Titan for indexing," explains Goenka.
The company perceives significant potential in this service—particularly in India, which is home to over 700 languages, many of them minority languages spoken by relatively small populations.
“We’re also working on a service based on Amazon Bedrock for content recommendations based on users' reading and consumption patterns and quiz scores to improve learning outcomes.” Mohanty concludes, “Amazon Bedrock is h

Evidence from the source

40‒50%

Established in 2021 Kytes is a platform that distributes a broad range of content types, including interactive reports, statements, videos, and eBooks, while harnessing artificial intelligence (AI) to enhance content. Shortly after its laun

In addition, users are rating their experiences of the generative AI–based services with 4.5 or 5 stars out of 5.

Kytes launched these applications around September 2023.

Since launching its generative AI applications on AWS, Kytes has increased platform adoption by an estimated 40‒50 percent.

The company deployed Amazon Bedrock on Amazon Elastic Compute Cloud (Amazon EC2) clusters, comprising instances with a mix of 2 and 4 cores and 4 and 8 gigabytes of memory.

Transparency Evidence & methodology 95/100 reference value · 87% confidence · 1 source

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

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 value95/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
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
6 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence87%

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 specificity10/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

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

AWS
Kytes customer story

First-party
https://aws.amazon.com/solutions/case-studies/kytes/

Source type
Vendor-published customer story

Published
Jun 12, 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

Publisher catalog date Jun 12, 2024 · AWS · First-party
Open date source

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

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