Impactful Enterprise AI
Results in 30 days. 100% in your cloud or at the edge.
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FOR BUSINESS USERS
Deliver GenAI solutions on your data, in your cloud or at the edge in 30 Days. Guaranteed.
FOR IT TEAMS
200X Lower cost end-to-end serverless GenAI securely in your cloud with built-in guardrails.
FOR DATA SCIENTISTS
Rapidly prototype.
Massively experiment.
Focus your expertise where it matters most.
One Secure Platform, for Every AI Use Case
Serverless Independent Services enable teams to launch any business solution in minutes.

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Companies Trust Aible
Thousands of organizations across industries and geographies have signed up to use Aible for Enterprise Generative AI use cases.
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Fortune 500s
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Global 2000s
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Enterprises
Aible Success Stories
See how Verizon, Carelon and Baptist Health are using Aible to launch and solve business challenges with enterprise GenAI and Augmented Analytics, securely in their own cloud within minutes.
Business Impact
in 30 Days
To help enterprises achieve business impact in 30 days, Aible aligns with business users quickly with rapid prototyping, AZ testing, and powerful enterprise guardrails.

Rapid Prototyping

Enterprise Guardrails

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Business-User-Led Rapid Prototyping
to Derisk Upfront

  • Business users can create their own GenAI prototypes based on any kind of enterprise data in minutes
  • End-users can immediately start providing feedback at scale that can be used to improve the GenAI models
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Built-in Enterprise Guardrails to Secure By Design

  • Implemented fully in the customer’s cloud (including models) with no data egress
  • Deterministic double-checking for hallucinations that traces back to source documents
  • Can segregate VectorDBs and fine-tuned models by role, use-case, user
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Iterative Automated Improvement

  • One-click few-shot learning and end-to-end automated fine-tuning (from user feedback collection to model deployment)
  • Serverless A-Z testing for rapid experimentation in parallel. Understand cost & time savings
  • Adjusts at scale without end-user disruption as new technology emerges
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“50% of companies are trying to bring GenAI capabilities in, but only 10% have actually implemented them. To just think that we did something in two days on top of our data, that’s a pretty big deal”
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—Jas Pannu,
Staff VP Data & Analytics
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What Can Aible Do For You?
From Summarization, to Question/Answering and Analytics—just start chatting for the use cases and generative AI solutions that drive your business.

Sales Use Cases

Marketing Use Cases

Finance Use Cases

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Sales Use Cases

  • Customer Churn
  • Lead Scoring
  • Proposal Generation
  • Sales Email Generation
  • Sales Optimization
  • Selling Content Creation
  • And More
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Marketing Use Cases

  • Campaign Optimization
  • Content Generation
  • Email Nurture Campaigns
  • Lead Scoring
  • Personalized Messaging
  • Marketing Optimization
  • And More
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Finance Use Cases

  • Collections Effectiveness
  • Credit Scoring and
    Risk Assessment
  • Fraud Analysis
  • Late Payments
  • Scenario Analysis
  • Tax Compliance
  • And More

Partnered with the Best in Class

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Leverage the Full Spectrum of AI
Enable a complete set of AI capabilities to launch generative AI and classical AI applications leveraging Augmented Data Engineering, Augmented Analytics and Augmented Machine Learning and Data Science.

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Data
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Data Engineering
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Analytics
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Data Science & Machine Learning
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Optimization
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Scenario Planning
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Individualization
AUGMENTED
Monitoring

Resources

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BLOG

Serverless GPUs improve GenAI TCO by 200X for end-to-end RAG solutions

Enterprises are increasing their focus on Small Language Models (SLMs) as the preferred solution for Enterprise Generative AI. There are several reasons for this including specificity, security, cost, and speed.

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WEBINAR

Business Impact from Generative AI+ Augmented Analytics

Learn the most effective way to solve business problems quick and easily with GenAI

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ARTICLE

Generative AI with enterprise controls for business users in 24 Hours

As awareness of the potential of generative AI expands in the market, the following key considerations have emerged

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