Tesseract TechnoLabs

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Overview

$1,000+

Min Project Size

< $25/hr

Avg Hourly Rate

10 - 49

Employees

2021

Year Founded

ABOUT TESSERACT TECHNOLABS

Enterprise AI Development Partner

Elevate your software development with the newest innovations in Python at Tesseract Technolabs. We focus on creating strong, scalable, and efficient solutions that cater to your business requirements. Whether it's automation or AI-driven applications, we keep your technology at the forefront. At Tesseract TechnoLabs, we are convinced that AI can transform every facet of our lives—from healthcare and finance to transportation and education. Our mission is to leverage this potential safely and responsibly, providing advanced AI solutions that positively influence the world. We collaborate with clients across various industries, offering tailored services that address their specific needs and help them reach their objectives. Our team of experts is proficient in a wide array of AI technologies, including deep learning, computer vision, and natural language processing. We apply these skills to craft innovative solutions that yield tangible results. Whether you're a startup aiming to introduce a new AI product or a well-established company wanting to incorporate AI into your current operations, Tesseract TechnoLabs has the expertise and capabilities to help you thrive. We work closely with every client to comprehend their unique challenges and requirements, creating customized solutions that support their aspirations.

LANGUAGES SPOKEN

EnglishHindi

HIGHLIGHTS

$1,000+

Min Project Size

< $25/hr

Avg Hourly Rate

10 - 49

Employees

2021

Year Founded

Services

Focus

Industries

Clients

Services Provided

45% API Development & Integration

20% E-Commerce Development

35% Legacy System Modernization

30% AI Strategy & Roadmap Consulting

30% Generative AI

15% Robotic Process Automation (RPA)

10% IT Staff Augmentation

15% Other IT Consulting and SI

About the Team

OUR STORY

Since its inception in 2017, Tesseract Technolabs has evolved from a startup into a leading force in enterprise AI and software solutions. Committed to addressing real-world challenges, the company prioritizes technology that solves problems rather than creating them. With a dedicated team of engineers, researchers, and strategists, Tesseract emphasizes rapid, quality development focused on client outcomes. Their mission centers on democratizing access to powerful AI and enterprise-level software, making these technologies affordable and accelerating their adoption across organizations of all sizes. They envision a future where intelligent systems manage repetitive and complex tasks, enabling humans to concentrate on creativity, strategy, and meaningful relationships. Tesseract invites collaboration to achieve shared business goals.

Portfolio

Python/Django Developer

Excel Envirotech

Description: This software was developed for an Environmental Consulting firm. With it, they can now complete their tasks in 1-2 days instead of the usual week-long timeframe. The software consists of six sections, each with approximately 70-100 input fields, along with necessary calculations. Previously, all calculations were done manually; now, they can enter data directly from the client's location, and all calculations and data processing will be completed in just a minute. Additionally, they can easily download PDF reports based on the input fields, enhancing convenience. Technology used: The software was built using Python and the Django framework. We developed a web application for easy access from any device. For the frontend, we utilized HTML, CSS, and Bootstrap. Challenges faced: One of the main challenges during development was managing the large number of fields in the database. Structuring the report in PDF format was also quite complex. Solutions: To effectively handle this extensive data, we created various tables in the database linked by foreign keys, allowing for easier and quicker access. To generate the structured PDF report, we employed the Python library "reportLab."

Python Developer / Data Science Engineer

Vector Software

Description: In this project, we developed a web application for managing inventory of products. This application is designed for small to medium-sized businesses, allowing them to oversee their products and billing processes. Users can add details about employees, customers, inquiries, and products, and manage incoming and outgoing items, services, and inquiries. Additionally, the application enables users to generate bills and reports, which can be downloaded in either PDF or CSV formats. We also incorporated an email system that notifies the admin and registered company email whenever an outgoing transaction occurs. Technology utilized: We employed Django and Python for the backend and used HTML, CSS, JavaScript, and Bootstrap for the frontend. Additionally, various Python libraries such as ReportLab, SMTP, and Django-filters were integrated into the project. Challenges encountered: During development, we needed to create dynamically generated forms based on user inputs and selections for inbound and outbound products. The complexity of the database structure increased due to the numerous interconnected entities. Solution: To address the need for dynamic forms, we utilized formsets and jQuery to facilitate the display and addition of forms based on user requirements. For the database structure, we implemented MySQL to manage table relationships and connections.

Text generation

Unknown

Description: In this project, we developed an AI model capable of producing text based on an input of 1-2 sentences. This model enables the generation of stories, information, or any relevant content based on the provided input, with the ability to produce text up to 2-3 paragraphs in length. We utilized the GPT-J model for fine-tuning and trained it using various datasets sourced from multiple locations. To enhance user experience, we also built a simple user interface along with a Flask API, allowing the frontend to call the API and receive output predictions. Technology used: The entire project was implemented in Python, employing the PyTorch library to create the model. Additionally, we utilized the Hugging Face Transformers library for accessing the model architecture. Challenges encountered: A significant challenge in this project was selecting the appropriate model to ensure the generated text was coherent and accurate. We also encountered difficulties during training because the model's size exceeded the capacity of standard CPUs. Solutions: We experimented with several text generation models, including GPT-2, GPT-Neo, BERT, and RoBERTA, ultimately choosing GPT-J as our final model. For training the model, we opted for Google Colab Pro+, which offers a powerful GPU suitable for training such large models.

Projects & Clients

Project Size & Rate

Minimum Project Size

$1,000+

Average Hourly Rate

< $25/hr

Pricing Snapshot

Min Project Size

$1,000+

Avg Hourly Rate

< $25/hr

Cost Rating

N/A

What Clients Have Said

“

"Tesseract TechnoLabs delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

MOST COMMON PROJECT SIZE

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Select a service

API Development & Integration

E-Commerce Development

Legacy System Modernization

AI Strategy & Roadmap Consulting

Generative AI

Robotic Process Automation (RPA)

IT Staff Augmentation

Other IT Consulting and SI

Locations

Headquarters

A-1206, PNTC

Ahmedabad, Gujarat, India 380015

+919157652641

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