Dokta vs Prediction Pulse

AI-Powered Document Analysis

Dokta's core functionality is its advanced AI and OCR processing engine. Upon document upload (photo, scan, or PDF), the system automatically reads, classifies, and extracts key structured data such as document type, total amount, due date, and involved parties in less than 60 seconds. This eliminates manual data entry, ensures accuracy, and instantly converts static documents into actionable items within the platform's workflow, forming a searchable digital archive.

Automated Invoicing & Quote Management

The platform provides comprehensive tools for the billing cycle. Users can create professional invoices and quotes in a few clicks. A standout feature is the ability to send quotes with an online acceptance link, enabling clients to approve digitally, after which conversion to a final invoice is a one-click operation. For freelancers on daily rate (TJM) contracts, Dokta supports automated monthly invoice generation based on the contract terms, streamlining recurring billing.

Real-Time Cash Flow & Anomaly Detection

Dokta offers a centralized financial dashboard that displays key metrics in real time: invoiced revenue, collected revenue, unpaid invoices, and VAT liabilities. This is complemented by a 12-month graphical trend analysis. Proactively, the AI engine includes an anomaly detection system that identifies potential issues such as modified IBAN details, duplicate invoices, inconsistent VAT rates, or missing sequential numbering, providing an essential layer of financial oversight.

Integrated Client & Supplier Database

The platform automatically constructs and enriches a relational database of clients and suppliers by extracting entity details from every processed document. It can perform automatic SIRET number lookup (for French entities) to enrich profiles and includes a payment scoring system based on historical data. This creates a complete, intelligent history per contact, facilitating better relationship management and providing context for all financial interactions.

AI Pulse Score Engine

The proprietary Pulse Score is the foundational analytical feature of the platform. For each of the over 29,000 live markets tracked, the AI engine processes available data to generate an independent probability estimate for the likely outcome. This score is displayed alongside the current market price, with a calculated point differential (e.g., -11 pts) highlighting the magnitude of disagreement. The system also provides a confidence metric (e.g., 55/100) and a concise "Pulse verdict" explaining the AI's reasoning, enabling users to assess the robustness of each algorithmic prediction.

Cross-Platform Market Aggregation

Prediction Pulse consolidates real-time market data from multiple major prediction market platforms, including Polymarket and Manifold, into a single, standardized interface. This aggregation covers nearly 30,000 active markets, which are updated at fifteen-minute intervals. The feature eliminates the need for users to manually monitor disparate sources, providing a comprehensive and unified view of global prediction market activity, liquidity (displayed as volume in USD), and pricing across all integrated platforms.

Edge Opportunity Identification

The platform algorithmically scans all scored markets to automatically identify and surface potential mispricings, labeled as "Edge Opportunities." These are instances where the AI's Pulse Score diverges significantly from the current market-implied probability. A dedicated "Top Edge Movers" section ranks these opportunities, allowing traders to quickly pinpoint markets where the crowd's sentiment may be erroneous according to the AI model, thus highlighting potential avenues for alpha generation.

Event-Centric Organization & AI News

Beyond individual markets, Prediction Pulse employs intelligent clustering to group related market contracts into coherent "Events," such as geopolitical developments or election outcomes. This provides thematic context and allows for comparison of probabilities across different platforms for the same underlying event. Furthermore, the platform features an AI-generated "News" feed that synthesizes major prediction market movements and significant Pulse Score adjustments into explanatory summaries, tracking how sentiment evolves over time.

Freelance IT Developer / Consultant

For IT freelancers operating on Time and Materials (TJM) contracts, Dokta automates the entire invoicing pipeline. The system can be configured to generate monthly invoices automatically based on the contracted rate, sending them for one-click validation. This allows the freelancer to focus on development work while Dokta handles payment tracking, sends automated reminders for late payments, and maintains a clear record of all client transactions and project-related documents.

Creative Freelancer / Project-Based Worker

Graphic designers, photographers, and other project-based creatives benefit from Dokta's streamlined proposal-to-payment workflow. They can create a quote and send it via a professional online acceptance link to the client. Upon client approval, the quote is converted to an invoice with a single click. Dokta then manages the payment follow-up, chases late invoices with professional reminders, and keeps all project documents and client communications organized in one place.

Auto-Entrepreneur / Micro-Entrepreneur

This user group requires simplicity and compliance. Dokta generates legally compliant invoices, automatically tracks revenue against the micro-entrepreneur income ceiling, and provides alerts for upcoming URSSAF social charge payment deadlines. The real-time cash flow dashboard gives a clear, immediate view of business health without complex accounting knowledge, and the CSV export feature simplifies year-end accounting procedures.

Growing Small Business (SMB)

Small businesses managing multiple clients, suppliers, and contracts use Dokta as a centralized document command center. The AI processes incoming bills and outgoing invoices, automatically populating the cash flow forecast. Anomaly detection safeguards against fraud or errors, and the automated task generation from documents (e.g., "pay this invoice by X date") ensures no deadline is missed, improving operational reliability and financial control.

Quantitative Trading & Arbitrage

Traders and quantitative analysts utilize Prediction Pulse to systematically identify statistical arbitrage opportunities across prediction markets. By leveraging the AI-generated Pulse Score as an independent pricing model, they can execute strategies based on divergences between the algorithmic forecast and the crowd-sourced market price. The platform's edge alerts and high-volume market filters enable the rapid discovery and evaluation of trades with a perceived mathematical advantage.

Research & Sentiment Analysis

Academic researchers, think tanks, and policy analysts use the platform as a tool for gauging collective intelligence and forecasting real-world outcomes. The aggregation of markets into canonical events allows for the study of how prediction market probabilities shift in response to news cycles, while the AI's explanatory verdicts provide additional data points for understanding the factors influencing public and market expectations on complex topics.

Risk Assessment & Scenario Planning

Institutional professionals in finance, geopolitics, and corporate strategy employ Prediction Pulse for non-traditional risk assessment. By monitoring probability trajectories for events like regulatory changes, political upheavals, or technological milestones, they can incorporate forward-looking, market-derived signals into their scenario planning models, complementing traditional analysis with crowd-sourced foresight.

Market Education & Due Diligence

Curious observers and new participants in prediction markets use the platform as an educational and due diligence tool. The side-by-side comparison of market prices and AI scores, along with the explanatory verdicts, helps users learn how to interpret market data. It also serves as a check against potential herd mentality or irrational exuberance in thinly traded markets by providing an alternative, data-driven perspective.

Dokta is a sophisticated AI-powered document management and business automation platform engineered specifically for freelancers, solo entrepreneurs, auto-entrepreneurs, and small to medium-sized businesses (SMBs). The platform is designed to eliminate administrative inefficiencies by placing AI at the core of document processing. Users can upload any document, such as invoices, quotes, or contracts, and Dokta's AI engine, powered by Claude (Anthropic), performs Optical Character Recognition (OCR), classifies the document type, and extracts critical data fields including amounts, due dates, and client details in under 60 seconds. It manages the entire document lifecycle, from creation to payment tracking. This includes generating professional invoices and quotes, automating payment reminders, managing contract deadlines, and creating actionable tasks directly from document content. The system autonomously builds a searchable client and supplier database, provides real-time cash flow analytics with 12-month graphical trends, and facilitates accounting through CSV export. Hosted on AWS in Paris with AES-256 encryption, Dokta guarantees 100% GDPR compliance, ensuring data sovereignty and security for European users. Its core value proposition is transforming document management from a manual, error-prone task into an automated, intelligent, and centralized operational hub.

Prediction Pulse is a sophisticated AI-powered intelligence platform engineered to aggregate, analyze, and interpret data from decentralized prediction markets. It functions as a centralized hub, sourcing live market data from leading platforms such as Polymarket and Manifold Markets. The platform's core technical innovation is its proprietary Pulse Score probability engine, which applies advanced artificial intelligence models to evaluate thousands of individual market contracts. This engine calculates an independent, AI-derived probability for each market's outcome, effectively creating a benchmark against current crowd-sourced prices. By grouping related markets into canonical real-world events, Prediction Pulse provides structured context, allowing users to move beyond isolated bets to understand broader market sentiment on specific topics. The platform is designed for quantitative traders seeking algorithmic edge opportunities, researchers analyzing collective intelligence, and engaged observers who require a synthesized, analytical view of what prediction markets are signaling about future geopolitical, financial, and cultural events. Its primary value proposition lies in transforming fragmented market data into actionable intelligence through continuous AI scoring, mispricing alerts, and explanatory insights.

How does Dokta ensure the security and privacy of my documents?

Dokta is built with a strong security-first architecture. All data is hosted on Amazon Web Services (AWS) in Paris, France, ensuring physical and legal data sovereignty within the European Union. Documents and data are encrypted at rest using AES-256 encryption. The platform is fully compliant with the General Data Protection Regulation (GDPR), governing how personal data is processed and stored. No manual access to your documents is performed without explicit consent.

What types of documents can Dokta process?

Dokta's AI engine is optimized to process a wide range of business documents essential for freelancers and SMBs. This includes incoming and outgoing invoices, quotes, proposals, and various types of contracts. The system accepts documents in multiple formats: PDF files, scanned images, and even photographs taken with a smartphone. The AI performs classification to identify the document type before proceeding with precise data extraction.

What happens if the AI makes an error in data extraction?

Dokta is designed for high accuracy but operates on a human-in-the-loop principle for validation. After the AI completes its sub-60-second analysis, the extracted data is presented to the user in an interface for review and confirmation. The user retains full control to correct any field before the data is finalized and integrated into the system. This ensures accuracy while still saving the vast majority of manual entry time.

Can I use Dokta for accounting and tax reporting?

While Dokta is not a certified accounting software, it provides robust features to support accounting and tax preparation. It automatically tracks all invoiced and paid amounts, calculates VAT totals, and allows you to categorize expenses. The key feature is the ability to export all financial data, including client lists, transaction histories, and VAT summaries, into a standardized CSV file format that can be directly imported into most accounting software or provided to your accountant.

What is the Pulse Score and how is it calculated?

The Pulse Score is an AI-derived probability estimate for the outcome of a specific prediction market. It is generated by a proprietary machine learning model that analyzes available data relevant to the market's question. The exact algorithmic features and training data are not publicly disclosed, but the model is designed to process information to output a likelihood percentage, which is then compared to the current market-implied probability to calculate a point differential.

How often is the market data and Pulse Score updated?

The platform's data pipeline refreshes information from integrated prediction markets every 15 minutes. This includes the latest prices, trading volumes, and resolution statuses. Concurrently, the AI models re-evaluate the markets to update the Pulse Scores and confidence assessments, ensuring users have access to near-real-time intelligence and edge opportunity alerts.

What does the confidence score associated with the Pulse verdict mean?

The confidence score (e.g., 55/100) is a metric provided by the AI model that indicates its self-assessed certainty in its own Pulse Score prediction. A higher score suggests the model has higher-quality or more sufficient data to support its conclusion. A lower score, often accompanied by the note "Insufficient data for a confident assessment," signals that the prediction is made with higher uncertainty, advising users to weigh the verdict accordingly.

Which prediction market platforms does Prediction Pulse aggregate?

Based on the provided data, Prediction Pulse currently aggregates live market data from at least two major platforms: Polymarket and Manifold Markets. The platform's infrastructure is built to incorporate additional sources, and the count of integrated platforms may increase over time to provide even broader market coverage and liquidity analysis.

Dokta is an AI-powered document management platform operating within the business and finance software category. It automates the lifecycle of key business documents like invoices, quotes, and contracts for freelancers, solo entrepreneurs, and SMBs, centralizing data extraction, creation, and tracking. Users may seek alternatives to Dokta for various reasons, including specific budget constraints, the need for more advanced or different feature sets, integration requirements with other business tools, or a preference for platforms hosted in different geographic regions. The search often hinges on finding the optimal balance between automation depth and cost. When evaluating alternatives, key criteria include the platform's core document processing capabilities, such as AI-driven data extraction accuracy and speed. Other critical factors are the breadth of the document lifecycle management features, pricing structure and scalability, data security and compliance certifications, and the availability of essential integrations with accounting, CRM, or payment systems.

Prediction Pulse is an AI-powered intelligence platform within the business and finance category, specifically designed for analyzing prediction markets. It aggregates data from multiple market platforms, groups them into real-world events, and uses a proprietary AI engine to calculate probabilities and highlight insights for traders and researchers. Users may seek alternatives for various reasons, including differing budget constraints, the need for specific analytical features not offered, or a preference for platforms that focus on a single prediction market source rather than aggregated data. Platform usability, data visualization depth, and the frequency of AI-generated commentary are also common decision factors. When evaluating an alternative, key considerations should include the scope of market coverage, the sophistication of the probability analysis engine, and the quality of explanatory content. The ideal platform should provide clear, actionable intelligence that aligns with your specific trading, research, or observational goals.