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We apply modern AI and machine learning techniques to extract insights, automate decisions, and create intelligent systems. Whether training custom models or integrating with leading AI platforms, we bring data to life. This helps businesses turn complexity into clarity and action through ethical, explainable, and scalable AI solutions.

Model Development

Custom ML models built for prediction, classification, and real-world performance.

Natural Language Processing

Context-rich systems for understanding, generating, and retrieving text with RAG.

Computer Vision

Visual AI that enables recognition, tracking, and insight from image or video data.

Data Engineering

Pipelines and tools for collecting, cleaning, and organizing training data.

MLOps

Reliable model deployment, versioning, and monitoring in production environments.

Explainable AI

Transparent models with insights into how predictions and decisions are made.

Tech Stack

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Docker

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Azure

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AWS

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Python

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Hugging Face

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Kubernetes

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Langchain

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Milvus

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PyTorch

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TensorFlow

Struggle-Free Access to Laws with Our Intelligent Assistant

PraVi AI is a smart chatbot that answers complex legal questions and keeps conversations coherent through follow-up inquiries.

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AI-Powered Drone Analytics for Smarter Crop Protection

We transform drone images into detailed maps showing weed locations and spray zones, helping farmers protect crops with precision and ease.

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Delivery Models

Dedicated Development Teams

  • Long-term, integrated teams tailored to your tech stack and workflow.
  • You manage the roadmap, we ensure continuity and execution.
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Staff Augmentation

  • Embed skilled engineers into your team to boost capacity or fill gaps - with speed and flexibility.
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End-to-End Product Development

  • We handle the full product lifecycle, from idea to launch.
  • Ideal for startups and new digital initiatives.
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Project-Based Engagements

  • Fixed-scope delivery for MVPs, internal tools, 
or system upgrades.
  • Clear timeline, budget, and deliverables.
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Consulting & Technical Advisory

  • Targeted support for architecture, scalability, DevOps, or performance challenges.
  • Advisory + hands-on execution if needed.
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Have questions?

We’ve collected some of the most common questions clients ask us about our process, tools, and approach. If you don’t find what you’re looking for, feel free to reach out. We’re happy to talk.

Do you build custom models or use existing AI platforms?

We do both. We build custom models when needed, or leverage APIs and pretrained models for speed and cost-effectiveness.


What kinds of problems are best suited for machine learning?

Tasks involving prediction, classification, recommendation, or pattern recognition are well-suited to ML.


How much data do we need to get started?

It depends on the problem, but we can often start with a small dataset and scale or augment it as needed.


Can you help us deploy models into production environments?

Yes, we handle full MLOps pipelines and deploy models into cloud, on-prem, or edge environments.


What’s your approach to model monitoring and performance tuning?

We track key metrics, detect drift, and continuously improve model accuracy and reliability in production.


How do you ensure fairness, transparency, or explainability in your AI systems?

We prioritize explainable models and use tools to audit for bias, interpretability, and regulatory compliance.


Can you integrate AI into an existing product or workflow?

Yes, we often embed AI features into existing systems through APIs or custom integrations.

Let’s build your software together!

Tell us about your current challenges. We’ll listen, dive into the details, and provide tailored solutions to meet your needs.

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