Inferable

What is Inferable?

Nadeesha Cabral founded Inferable AI in 2023 as an open-source platform for developing AI agents that include probabilistic LLM reasoning into pre-existing systems.

Autonomous agents, robust workflows, on-premise execution, composeable agents & self-hostability are important aspects that ensures data protection and control.

---

Inferable Key Features.

Here is the Mind-blowing🫡 Key Features of Inferable:

1. Tools Integration: By integrating pre-existing code into tools, the ai agents can use Inferable’s SDKs to activate them.
2. Autonomous Agents: It Creates Multi-step reasoning agents that are capable of creating their own execution strategies are known as autonomous agents.
3. Durable Workflows: It defines Workflows that are solid and ready for production are referred to as durable workflows.
4. On-premise Execution: This Features operate on your own system & ensuring data protection and control.
5. Composable Agents: It Composes, pipes & chains agents and enforces structured outputs.
6. Observability: It Gives function calls and AI workflows end-to-end observability.
7. Human-in-the-Loop: Indefinitely pauses and continues function execution.
8. Enterprise-ready: It Supports BYO models and adjusts to your current architecture.
9. Self-hostable and open-source: It Offers complete control over the machine and data because of Open source platform.

---

Inferable Use Cases.

Here is the Various Use-Cases💻 of Inferable:

1. Extending Existing Services: Adding AI features to current services without requiring significant reworking is known as “extending existing services.”
2. Industries with high levels of regulation: It is Ideal for sectors with strict security needs.
3. Complex Multi-Step Workflows: It is Ideal for coordinated processes that call for judgments based on context.
4. Enterprise Integration Projects: It Connects to current authentication systems for on-premise operation.
5. Data Operations: It Quickly transfers and manipulates data without the need for specialized equipment.
6. Troubleshooting: Quick information retrieval and problem solving are made possible by troubleshooting.
7. Product Analytics: It Develops unique queries to support data-driven choices.
8. System Integration: It Checks and fixes how various systems integrate with one another.

---

Inferable Pros/Cons.

Here is the Pros😃 & Cons😟 of Inferable to knowing better about this AI:

Pros😃

1. It can Easily integrates with existing systems and services.
2. It Provides full control over data and security.
3. It Can handle complex, multi-step workflows and large-scale operations.
4. It Supports community contributions and transparency.

Cons😟

1. Requires technical expertise for setup and management.
2. On-premise operations may require significant computational resources.
3. It Requires continuous maintenance and updates for smooth & secure operation.

---

Inferable Pricing Guide.

Inferable comes with 3 Different Pricing Plans including Free Plan:

1. Free Plan: It is perfect for getting started, It Starts at $0/ Monthly – Features include:

• Free forever.
• $5 free model credit.
• 500 free predictions.
• Max 5 connected machines.
• 2 clusters.

2. Pay As You Go Plan: It is for growing Projects, It is Starts at $0.50/ Per 100 Predictions – Features include:

• Everything in free tier.
• Up to 20 clusters.
• Max 200 connected machines (soft limit).
• Higher rate limits.
• Priority email support.

3. Custom Plan: It is for Maximum Control & Security, It is a Custom Pricing per year – Features include:

• Deploy on your infrastructure.
• Bring your own model keys.
• Full data isolation.
• Dedicated Slack support.
• Custom SLAs.

🫷NOTE👉: For the Most Accurate & Up-to-date Pricing information, Visit the Official Website as the information provided here might not be current.

---

Inferable Integration Options.

Here is the Integration🔗Options provided by Inferable:

1. Integration with the React SDK: Personalized AI Copilot Interfaces for application development.
2. Assistant UI Integration: Quickly implementable pre-built components.
3. Data Connector: Data connectors provide a safe and legal way to connect to databases.
4. Direct Integration through SDK: Support for Typescript and Go, followed by support for.Net, Ruby & Python.
5. Proxy Integration: An independent application and inferable AI service that uses GraphQL and HTTP APIs for communication.
6. Custom Integration: For Inferable Enterprise clients, there is an Enterprise option.

---

Inferable Demo Video.

This Demo Video will help you to understand🫡easily about this AI, Watch this Video Carefully!

---

Inferable Safety & Privacy Measures.

Safety🧷& Privacy🔏 Measures are very essential to know that the user data is protected & safe, Here is the Safety & Privacy Measures provided by Inferable:

1. Zero Inbound Connections and Total Private Networking: This platform uses long-polling connections to function, therefore IP allowlisting and inbound ports are not necessary.
2. Open source SDKs: Infrastructure code should be auditable to make sure security regulations are being followed.
3. Zero-Retention AI Processing: AI processing with zero retention involves processing data in discrete contexts and discarding it after usage, without any long-term storage.
4. Total Data Privacy: Sentinel’s tokenization proxy provides regulated sectors with complete privacy protections.
5. SOC 1 & SOC 2 Compliance and Trust Center: For extra assurance, we are actively pursuing SOC 1 and SOC 2 compliance certifications.

---

Inferable Support Options.

Inferable AI provides various Support options like:

• Community forums.
• GitHub for code contributions.
• Dedicated Email support.
• Slack Community.
• General inquiries.
• Dedicated engineers for enterprise customers.
• Onboarding assistance.
• Tutorials and guides.
• Webinars and workshops for in-depth learning and hands-on experience.

These resources can ensures a smooth integration of this AI into your systems.

---

How We Rated it? Our Rating Score – (4.8/5⭐)

Here is the Comprehensive Overview on How We Rated⭐ It:

• Features and Functionality: 4.9/5⭐
• Ease of Use: 4.8/5⭐
• Performance: 4.8/5⭐
• Scalability: 4.9/5⭐
• Customer Support: 5/5⭐
• Pricing and Value: 4.9/5⭐
• Innovation: 4.8/5⭐
• User Reviews and Feedback: 4.9/5⭐
• Safety and Privacy: 5/5⭐

---

How Inferable Stands Out From The Rest?

With its multilingual support for Node.js, Golang & C#, Inferable.ai is an open-source platform that enables users to develop reliable, production-ready processes.

It is a flexible solution for developers wishing to incorporate AI into current systems and expedite engineering processes because it provides composeable agents, observability, human-in-the-loop integration & on-premise execution.

---