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AxionX digital

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Innovating tomorrow

AxionX Digital is an AI engineering company specializing in AI model training, LLM evaluation, and dataset curation. We build reproducible ML pipelines, RAG systems, and rubric-based evaluation frameworks that help teams ship reliable, production-grade AI products. From fine-tuning to RLHF workflows, we focus on building AI that performs reliably in real-world production environments.

  • Min project size
    $10,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    2 - 9
  • Locations
    Ahmedabad, India
  • Year founded
    Founded 2026

1 Locations

  • Ahmedabad , India

Service Lines
AI Consulting
60%
AI Development
15%
Generative AI
15%
AI Agents
10%

No Focus Areas have been added yet…

Industries
Information technology
35%
Financial services
20%
Business services
15%
Medical
15%
eCommerce
15%
Clients
Midmarket ($10M - $1B)
60%
Enterprise (>$1B)
20%
Small Business (<$10M)
20%

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Our Story

AxionX Digital was founded to help teams move AI projects from prototype to production. We specialize in AI model training, LLM evaluation, dataset curation, and reproducible ML pipelines. Our approach combines hands-on engineering with rigorous evaluation, ensuring every system we build is reliable, scalable, and ready for real-world use. We work closely with our clients at every stage, from initial scoping to deployment, treating each engagement as a long-term partnership rather than a one-off

What Sets Us Apart

Evaluation-First Approach

We build rubric-based evaluation frameworks into every AI system, ensuring model outputs are measured and validated, not just deployed on faith.

Production-Ready Engineering

Our pipelines are built for reproducibility and scale from day one, reducing the gap between prototype and live deployment.

Hands-On Technical Depth

From RAG and multi-agent systems to fine-tuning and MLOps, our team works directly in the technical layer rather than outsourcing core development.

Tools and Technology

Slack
Microsoft Teams
Zoom
Google Meet
Discord
Jira
Airtable
Google Drive
GitHub
AWS
Bitbucket
Google Docs

Commonly Asked Questions

We start with a discovery call to understand your AI use case, technical constraints, and success criteria. From there, we scope the engagement with clear milestones and maintain regular check-ins throughout development, ensuring alignment at every stage rather than delivering a black-box solution at the end.

We follow a milestone-based process. Discovery call to align scope, phased development with regular check-ins, evaluation checkpoints to validate performance, and a clean handoff with documentation at the end.

We're currently focused on RAG implementation, LLM fine-tuning, and AI evaluation infrastructure for teams that have a defined use case and are ready to move from prototype to production.

Our focus is on measurable outcomes, not just delivery: every engagement includes evaluation checkpoints tied to clear performance metrics, so clients can see exactly how the AI system is performing against their goals before and after deployment. Rather than a generic success rate, we tailor ROI metrics to each project, whether that's accuracy improvements, latency reduction, or cost savings from automation.

We keep communication simple and consistent: regular check-ins (weekly or as agreed), clear async updates on progress and blockers, and a shared view of milestones throughout the engagement so clients always know where things stand.

Locations (1)

1020, STC Space Link, Opp. Vakil Saheb Bridge, Ambli ‘T’ Junction, S. P. Ring Road Ahmedabad, India 380058

2 - 5

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