useSherlock.ai

Website

usesherlock.ai

Pricing URL

Official useSherlock.ai Pricing

$ Details

Free Trial

Platforms

Slack ElevenLabs Twilio Genesys Hubspot Google Aircall Amazon Datadog Stripe

Release Date

2026 February

Listed in

#AI #AI Tools #AI Assistant #AI Chatbots #QA Tools #Call Center Software #Call Center Solution #Voice Calling Assistant #Communications Platform As A Service (CPaaS) #SlackBot #Slack #AI Voice

Startup details

Country

Spain

State

Madrid

City

Madrid

Founder(s)

Jorge, Borja, Jose

Employees

1 - 9

s3-lambda

Website

github.com

Pricing URL

-

$ Details

-

Platforms

-

Release Date

-

Listed in

#Database Tools #Databases #Data Dashboard #Relational Databases

useSherlock.ai features and specs

• CALL INVESTIGATION
  Ask Sherlock Calls about any call in Slack. Get details, status, duration, events, and errors from Twilio or Genesys in one question — it fetches everything automatically.
• TRANSCRIPT ANALYSIS
  Search through ElevenLabs conversation transcripts right from Slack. Find specific moments, keywords, or patterns across hundreds of calls instantly.
• MARKETING & ADS INSIGHTS
  Correlate call outcomes with ad campaigns. Ask "Which Google Ads campaign drove the most qualified calls this week?" and Sherlock Calls cross-references call data with Google Ads, Meta Ads, and Analytics.
• CRM SYNC & ENRICHMENT
  Sherlock Calls connects to HubSpot, Salesforce, and Dynamics 365 to enrich call data with CRM context. Ask "What deal stage is the caller from +34 611...?" and get the full picture — calls, contacts, and pipeline in one answer.
• COST BREAKDOWN
  Ask "What did calls cost this week?" in Slack and get an instant breakdown by provider. Spot anomalies, track spending trends, and optimize per-call economics.
• CROSS-SERVICE CORRELATION
  Sherlock Calls builds a unified timeline across Twilio, ElevenLabs, your CRM, and ad platforms. See the full journey — from ad click to call to deal closed — posted as a clean thread in Slack.
• MULTI-CHANNEL, MULTI-PROVIDER
  Works in Slack today, with WhatsApp, Telegram, and email coming soon. Connects to voice providers, CRMs, ad platforms, and analytics — each integration is a plugin.

s3-lambda features and specs

• Batch processing of S3 objects
  s3-lambda provides a straightforward way to perform batch operations on large numbers of S3 objects, enabling map, filter, and reduce-style processing over entire S3 buckets or prefixes without writing boilerplate code.
• Familiar functional API
  The library uses a functional programming paradigm with operations like map, filter, and reduce, making it intuitive for JavaScript developers to process S3 objects using patterns they already know.
• Built-in concurrency control
  s3-lambda handles parallel processing of S3 objects with configurable concurrency, allowing users to control how many operations run simultaneously and avoid overwhelming AWS resources or hitting rate limits.
• Context-aware operations
  The library provides a context object within each operation that includes useful metadata about the current object being processed, simplifying access to S3 object properties during transformations.
• Easy integration with Lambda
  Designed to work seamlessly within AWS Lambda functions, making it straightforward to set up event-driven, serverless pipelines for processing large volumes of S3 data without managing infrastructure.

Possible disadvantages of s3-lambda

• Unmaintained project
  The repository appears to be no longer actively maintained, with limited recent commits and unresolved issues, which raises concerns about long-term reliability, security patches, and compatibility with newer AWS SDK versions.
• Limited documentation
  The project's documentation is relatively sparse, lacking comprehensive examples, edge case handling guidance, and detailed API references, which can make it challenging for new users to adopt effectively.
• AWS SDK version dependency
  The library depends on an older version of the AWS SDK for JavaScript, which may conflict with projects using the newer AWS SDK v3 and could miss out on performance improvements and features in updated SDKs.
• Limited error handling flexibility
  The built-in error handling mechanisms are relatively basic, and handling partial failures or implementing sophisticated retry logic for individual object operations requires additional custom code from the developer.
• Narrow scope of functionality
  The library is tightly focused on S3 object processing and does not integrate with other AWS services or provide utilities beyond basic map/filter/reduce operations, limiting its usefulness in more complex data pipeline scenarios.

Analysis of useSherlock.ai

Analysis of s3-lambda