a m b e r

Guardrails & Controls

Handle Dynamic Data

Make LLMs work on
your business data

Drastically reduce down the hallucination, bias to be faithful with custom facts & figures!

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5 Lines of Code

To build better AI
apps on your data

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Platform that does the heavy-lifting for you

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Be faithful to your data

Enhance relevancy, minimize misinformation with Amber API.

  • Precision-tuned algorithms for reliable outputs
  • Advanced error-checking to ensure data integrity
  • Consistent performance across diverse datasets
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Reason to adopt Amber #1

Reduced Hallucination

  • Relevancy

    Better over
    FineTuning & Langchain

  • Tokens

    Lower than
    existing systems



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Adapts to evolving data

Efficiently manage ever-changing business data without re-training your LLM.

  • Retrieval system integration for seamless data embedding
  • Eliminate costly and time-consuming re-training cycles
  • Fast and affordable updates to adapt to data changes
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Reason to adopt Amber #2

Handling Changing Data

  • Hours

    Could be saved
    over finetuning

  • Cost

    Saved over
    token consumption



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Personalized Results & Knowledge Discovery

Ensures trustworthy LLM interactions, eliminating the extensive time spent on manual creation.

  • Predefined output controls for sensitive topics
  • Hierarchical access control for tailored user experiences
  • Streamlined, safe, and secure conversational systems
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Reason to adopt Amber #3

Robust Guardrailing

Early adopters have saved considerable model experimentation time by using Amber's inbuilt guardrails!



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Seamless Production Integration

Establishing a seamless move from development to production with scalability assurance

  • Pre-configured for production environment, saving time
  • Robust and reliable even at large scales
  • Minimizes production pitfalls for consistent performance
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Reason to adopt Amber #4

Production Ready

  • Terabyte Volume

    of Contextual Data

  • Multi LLM Support

    of Business's choice

Shape
Ways to build using Amber

How can your company implement grounded Gen AI applications?

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Building Question-Answer Engine

Dive deep into your business data and retrieve precise information in real-time. No more sifting through endless files; ask, and Amber AI delivers. Forget complex query languages. With Amber AI, your knowledge base understands and responds to simple human language, making information retrieval a breeze.

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Building Chatbots or Co-Pilots

Every user is unique, and so should be their chat experience. With Amber AI, the chatbots you build can remember, learn, and adapt, offering personalized interactions every time based on your business data. Amber triggers it's dual memory systems for such applications - one for the conversational context and other to retrieve relevant results from the business datasources.

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Building Contextual Content Generation Application

Need a business report, article, or any business document? Amber AI crafts content that resonates with your organization's tone, style, and ethos. Amber AI dives into your business data, ensuring every piece of content is backed by facts, figures, and the authentic voice of your organization.

Use Cases

Check out use-cases in our playground

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Talk to a Retrival and FineTuning research paper about its technicalities, experiments and outcome.

Research Paper

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There are a lot of rules in Cricket and every combination of player + situation can result into varied regulations.

International Cricket Rules

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Sir Richard Feynman delivered a lecture series on Physics at CalTech. Learn & Ask questions to the man himself!

Lectures on Physics

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How do we solve for
Domain-Specific cases?

Fine-tune the retrievals for your specific-industry / domain by calling just two-lines of code in Amber v2.0 API. Our data-centric AI supports curated industry-specific outputs on minimal training while being all production-ready!

Aiming for Optimal Performance

Compare the naked models

Fine-Tuning

Fine Tuning + GPT 3.5 Turbo
 

3/5   Relevancy Score


  • Domain Specificity
  • High Costs
  • No dynamic Data handling

Langchain Based RAG

Commonly Adopted LlamaIndex RAG
+ GPT 3.5 Turbo

3/5   Relevancy Score


  • Baseline Retrivals
  • High Token Usage
  • Good for prototyping

Amber API v1.0

Amber API + GPT 3.5 Turbo
 

4/5   Relevancy Score

  • SOTA retrievals
  • Optimal Token Usage
  • Production Grade
Try Playground

WHAT OUR early adopters HAVE TO SAY

“Using Amber AI's API was a game-changer for our startup. It streamlined our data processes, making our product more efficient and user-friendly while having less to none deployment challenges. Truly a lifesaver for early-stage companies like ours!”
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Suhail Joo
Pullse AI

“Given the enormous data that we had, building a smart application like TradeGPT could have taken us months, while resolving the every complex use-case. Using Amber's capabilities made our tech team's life much more easier.”
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Shubham Jain
TradeReboot