Technodata Inc, based in Calgary, Canada, is a research lab focusing on developing high-productivity oil and gas upstream software technologies capable of human-like visual data processing and domain-specific reasoning. We license premium, petroleum-domain, expert-curated C# code assets to oil and gas software developers, as well as to AI labs training advanced large language models (LLMs) and AI coding assistants. As LLM technology providers actively invest to capture market share in the Oil & Gas sector, accessing high-fidelity “seed logic” for complex industrial workflows remains a critical bottleneck. We are not selling syntax; we are selling validated, hyper-scarce physical domain intelligence.
Product Catalog Listing
Licensing & Enterprise Delivery
This listing supports multiple commercial options depending on buyer intent.
Commercial AI Training and Fine-Tuning Data License: Full rights to ingest, tokenize, token-process, and fine-tune proprietary base LLMs or commercial coding assistants. Grants explicit legal right to distribute weights trained on this codebase.
Enterprise Software Integration License: White-label rights for development teams to copy, modify, adapt, compile, and merge the Licensed Codebase directly into proprietary Licensee Products. For the avoidance of doubt, embedding the licensed codebase into proprietary licensee products is fully optional and not mandatory. White-Label: Strip, remove, or replace any text-based corporate branding, headers, logos, and copyright notices belonging to “Technodata Inc.” within the user-facing UI controls, Viewports, and application dashboards, and substitute them with Licensee’s own corporate identity. Licensee is fully authorized to strip Technodata’s branding and deploy the software immediately as own.
Technical Specifications: Maps out real-world underground objects directly into normalized WPF Viewport3D space, including wellbore paths, hydraulic frac stages, perforation clusters, plugbacks, frac azimuthal axes, vertical frac footprints, planar stimulated areas, up to two ribbon-like palletized digital logs along the wellbore, and on-the-fly modeled induced pressure shadow bars and lines. Calculates on-the-fly and displays within the Perforation Cluster (Port) tooltip Brittleness, Young’s Modulus, Poisson’s Ratio, and Plane Strain Young’s Modulus, estimated using a binary-grain mixture model and gamma ray (GR) parameters for wet shale points and organic kerogen.
R&D Investment:1 Year of full-time development by a Principal Developer holding a PhD/MSc in Geophysics.
Equivalent Replacement Cost: ~$200,000+ USD in specialized engineering salaries.
Commercial AI Training and Fine-Tuning Data License: $35,000 (USD)
Financial Efficiency: Train models for less than 18% of the standard rebuild cost.
Rights Granted: Legal right to distribute foundational weights trained on this codebase.
Domain Intelligence: Inject petroleum engineering logic into coding assistants and LLMs, not just basic syntax.
Financial Efficiency: Deploy for less than 13% of the standard rebuild cost.
White-Label Rights: Strip Technodata Inc branding and merge into proprietary licensee systems. For the avoidance of doubt, embedding the licensed codebase into proprietary licensee products is fully optional and not mandatory. Licensee is fully authorized to strip Technodata’s branding and deploy the software immediately as own.
Development Speed: Instantly bypass 1 year of principal developer R&D time.
Startup & Boutique Developers Team Licensing Program
We support early-stage software companies and small teams. Reduced pricing may be available for organizations that do not meet enterprise revenue thresholds. Contact us at sales@technodatainc.com to discuss your project.
Package Contents: An expert-curated C# Visual Studio solution designed to train Large Language Models (LLMs) on rendering, tokenizing, and manipulating complex multi-well underground hydraulic fracturing objects in a 3D coordinate space. The solution includes two projects: MultiStageFrac3DControl (a WPF User Control) and MultiStageFracModule (a WPF Ribbon Window acting as a lightweight demo). The demo demonstrates how to integrate the user control and pass underground data to the content. This ribbon window module serves as a foundational starter template for building commercial multi-well underground hydraulic fracturing 3D applications.
Technical Specifications: A fully functional, production-grade, expert-curated C# Visual Studio solution. It is designed to train Large Language Models (LLMs) and AI coding assistants on automatic well correlation, rendering, tokenizing, and manipulating complex, multi-well underground lithostratigraphic cross-sections. This purely algorithmic generative AI solution automatically converts spatial sequences of digital logs into continuous underground lithostratigraphic images without requiring prior knowledge of formation tops or with minimal human intervention.
Core Capabilities: Parses input LAS 2.0 files and recognizes major log types using curve aliases. Correlates wells in automatic or semi-automatic modes by reverse-engineering human experience and domain-specific reasoning. It picks formation tops in fully automatic or “rubber band” modes, generates novel “bipole logs” via a binary mineral grain mixture model, and automatically calculates VSHALE and PHIe curves. Generates multiple types of Total Organic Carbon (TOC) logs without human intervention.
Automation Agent: Includes a built-in Batch Processor that can read thousands of raw LAS files from an input folder and write out derived LAS data sets (containing TOC, VSHALE, and PHIe) to an output directory for TOC mapping or 3D modeling. This provides the ultra-premium engineering logic required by LLM data acquisition teams targeting the enterprise oil and gas market.
Tested Against Real-World Data: The code has been validated across 2,000+ of real-world Canadian Oil & Gas wells (10,000+ digital wireline log curves). This tells AI engineers that the data structures are resilient to messy, real-world inputs.
R&D Investment:2 Years of full-time development by a Principal Developer holding a PhD/MSc in Geophysics.
Equivalent Replacement Cost: ~$400,000+ USD in specialized engineering salaries.
Commercial AI Training and Fine-Tuning Data License: $45,000 (USD)
Financial Efficiency: Train models for less than 12% of the standard rebuild cost.
Rights Granted: Legal right to distribute foundational weights trained on this codebase.
Domain Intelligence: Inject production-grade petroleum engineering logic into coding assistants and LLMs, not just basic syntax.
Financial Efficiency: Deploy for less than 9% of the standard rebuild cost.
White-Label Rights: Strip Technodata Inc branding and merge into proprietary licensee systems. For the avoidance of doubt, embedding the licensed codebase into proprietary licensee products is fully optional and not mandatory. Licensee is fully authorized to strip Technodata’s branding and deploy the software immediately as own.
Development Speed: Instantly bypass 2 years of principal developer R&D time.
Startup & Boutique Developers Team Licensing Program
We support early-stage software companies and small teams. Reduced pricing may be available for organizations that do not meet enterprise revenue thresholds. Contact us at sales@technodatainc.com to discuss your project.
Package Contents: An expert-curated C# Visual Studio solution, sample geological project files, and a comprehensive PDF Quick Start Guide with step-by-step screenshots. While developers are buying code for integration into workflow or its text training tokens, their business and procurement teams need to understand what the code actually does. A highly visual PDF bridges this gap perfectly. It proves the codebase is a functioning, premium, production-grade enterprise asset—not just a collection of unverified scripts.
Compelling Performance Benchmarks: It took only 5 seconds for an Intel® Core™ i7-13700 processor to automatically convert the spatial sequences of digital logs from nine 1700 meters deep wells into an acceptable, continuous underground lithostratigraphic image, without any prior knowledge of formation tops or basin geology.
Compelling Performance Benchmarks: It took only 3 seconds for an Intel® Core™ i7-13700 processor to automatically convert the spatial sequences of digital logs from twenty eight 400 meters deep wells into an acceptable, flattened, continuous underground lithostratigraphic image, without any prior knowledge of formation tops or basin geology.
Strong Market Differentiation:We are unaware of any existing production-grade technology capable of producing an acceptable, continuous, high-resolution, smooth underground lithostratigraphic cross-section with similar visual quality and processing speed, without prior knowledge of sedimentary basin geology or with minimal human intervention.
Technical Specifications: A fully functional, production-grade, expert-curated C# Visual Studio solution. It is designed to train Large Language Models (LLMs) and AI coding assistants on rendering, tokenizing, and manipulating complex, multi-well underground core analysis datasets.
Core Capabilities: Imports multi-well core analysis CSV data files, creates dynamic project area maps, and allows users to select specific wells to build comprehensive core analysis cross-sections. The dashboard displays advanced core analysis scatter plots and charts dynamically across all wells and a specific subject well. Mapping engine automatically generates Kriging contour maps based on user-defined data cut-offs, as well as interval statistics contour maps such as Swanson Mean Porosity.
The Premium of the ” Lithology Semantic Recognition Engine”: Features a built-in Litho Cognitive Semantics Engine that automatically converts text-based lithology abbreviations into 40 traditional sedimentary composite rock patterns. Adding a Lithology Semantic Recognition Engine moves the asset from a standard tool to an AI accelerator. Enterprise companies are aggressively looking for structured, domain-correct semantic engines to anchor their LLM vector embeddings and RAG architectures. They are paying a premium for data structures that prevent AI hallucinations in high-stakes decisions.
Tested Against Real-World Data: The code has been validated across 15,000+ of real-world core samples extracted from Canadian Oil & Gas wells. This tells AI engineers that the data structures are resilient to messy, real-world inputs.
R&D Investment:2 Years of full-time development by a Principal Developer holding a PhD/MSc in Geophysics.
Equivalent Replacement Cost: ~$400,000+ USD in specialized engineering salaries.
Commercial AI Training and Fine-Tuning Data License: $55,000 (USD)
Financial Efficiency: Train models for less than 14% of the standard rebuild cost.
Rights Granted: Legal right to distribute foundational weights trained on this codebase.
Domain Intelligence: Inject production-grade petroleum engineering logic into coding assistants and LLMs, not just basic syntax.
Financial Efficiency: Deploy for less than 12% of the standard rebuild cost.
White-Label Rights: Strip Technodata Inc branding and merge into proprietary licensee systems. For the avoidance of doubt, embedding the licensed codebase into proprietary licensee products is fully optional and not mandatory. Licensee is fully authorized to strip Technodata’s branding and deploy the software immediately as own.
Development Speed: Instantly bypass 2 years of principal developer R&D time.
Startup & Boutique Developers Team Licensing Program
We support early-stage software companies and small teams. Reduced pricing may be available for organizations that do not meet enterprise revenue thresholds. Contact us at sales@technodatainc.com to discuss your project.
Package Contents: An expert-curated C# Visual Studio solution, sample geological project files, and a comprehensive PDF Quick Start Guide with step-by-step screenshots. While developers are buying code for integration into workflow or its text training tokens, their business and procurement teams need to understand what the code actually does. A highly visual PDF bridges this gap perfectly. It proves the codebase is a functioning, premium, production-grade enterprise asset—not just a collection of unverified scripts.
Core Analysis Module: Phase Analytics Dashboard: Anomalous Vertical Labyrinth Detection Example A flattened continuous-phase cross-section shows the sedimentary formation partially topped with a conglomerate crust (red) and anomalous sub-vertical labyrinths (reddish-yellow) surrounded by tighter rocks (blue).
Important Usage Disclaimer
Disclaimer & Limitation of Liability All source code samples, algorithmic logic, data schemas, and geological examples provided on this website are intended solely to demonstrate basic functionality and software design principles. They are not to be used, directly or indirectly, to initiate or inform any commercial, financial, or operational actions—including but not limited to buying or selling mineral rights, or exploring, developing, and operating hydrocarbon or mineral resources. The information and source code contained herein are provided on an “as-is” and “as-available” basis without warranties of any kind, express or implied, including the implied warranties of merchantability or fitness for a particular purpose. While material is drawn from sources considered reliable, its accuracy, completeness, or operational safety is not warranted. To the maximum extent permitted by applicable Alberta and Canadian law, Technodata Inc. shall not be liable for any errors, omissions, or any direct, indirect, incidental, or consequential loss, damage, or expense incurred through reliance on any code, statement, or information on this website. Use of this website is entirely at your own risk.
