Skip to main content
Paid
Vic.ai logo
Data & Analytics paid

Vic.ai

Verified 1 day ago
Compare Alternatives Claim this listing
About Vic.ai 22s read
1 min read

Vic.ai is an AI autonomous accounting platform that uses deep learning to automate invoice processing, general ledger coding, and approval workflows with near-human accuracy. Unlike rules-based automation, Vic.ai learns continuously from each transaction and human correction to improve over time, achieving coding accuracy rates that can exceed manual processing. It integrates with major ERP systems to automate accounts payable processes full without requiring significant configuration.

Best for: Finance teams processing high volumes of supplier invoices who want to automate AP with deep learning rather than rules-based automation.
Screenshot
Key Features
  • AI autonomous invoice processing
  • Deep learning GL coding
  • Automated approval workflows
  • ERP system integrations
  • Continuous learning from human corrections
Pros & Cons
What we like
Deep learning achieves near-human accuracy on invoice coding
Continuously improves without manual rule maintenance
Significant reduction in accounts payable processing costs
What to consider
Requires a reasonable volume of invoices to train and optimise the AI
Enterprise ERP integrations may require IT involvement to set up
Questions and Answers

No questions yet. Be the first to ask!

Log in to ask a question.

User Reviews

No reviews yet. Be the first to review Vic.ai!

Log in to leave a review.

You might also like
Akkio A
Akkio
paid
Dataiku D
Dataiku
freemium
Obviously AI O
Obviously AI
freemium
User Reviews

No reviews yet. Be the first to leave a review!

Log in to leave a review.

Was this page helpful?

AI Glossary

The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.

A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.

The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.

The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.

When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.

The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.

The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.

A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.

Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.

The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.

An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.

AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.

A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.

A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.

A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.

Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Trending Now
Claude AI Learning Brain OpenAI Operator
Tool Info
Verified 1 day ago
Pricing paid
Category Data & Analytics
Added Jun 02, 2026
Source Manual Entry
Visit Website Back to Tools See Alternatives
Share:
Pricing Notes

AI tool pricing changes frequently. The pricing shown was accurate at our last editorial review. We recommend checking the tool's website directly for current plans.

Last reviewed: Oct 24, 2026
Check Current Pricing
Related Tools
Akkio paid Dataiku freemium Obviously AI freemium MonkeyLearn freemium
Compare

See how Vic.ai stacks up against alternatives.

vs Akkio vs Dataiku vs Obviously AI
Pricing
Paid
Visit Tool
Best For

Finance teams processing high volumes of supplier invoices who want to automate AP with deep learning rather than rules-based automation.

Embed this tool

Add a link badge to your website or blog:

People Also Viewed

Akkio
Akkio
Paid
 Dataiku
Dataiku
Freemium
 Obviously AI
Obviously AI
Freemium
 MonkeyLearn
MonkeyLearn
Freemium