We’re an AI-first technology company.

Focused on two things: building AI products and helping organizations implement AI end-to-end.

5+
Industry Verticals
E2E
Delivery Model
100%
Production Focus
What We Do

Two pillars. One mission.

Products

We build AI-native products

We design and ship agentic AI + ML products from the ground up—moving from prototype to production across healthcare, fintech, hospitality, manufacturing, and services.

Our first launch is AI-Powered Surgical Video Analysis for laparoscopic procedures, delivering phase timelines and transcription, with optional tool detection and anatomy segmentation built with PyTorch.

Services

We help teams implement AI inside their organization

We turn AI into real, deployed systems—not experiments. From identifying high-impact use cases to building data and model pipelines, integrating into existing workflows, and deploying with security, monitoring, and governance, we help teams adopt AI with clarity, speed, and confidence.

Industries

AI across industries

We build and deploy AI solutions tailored to the specific data, workflows, and regulations of your industry.

HealthcareFintechSoonHospitalitySoonManufacturingSoon
Our Process

How We Work

A structured delivery process built for measurable ROI.

01

Discover

We audit your data, processes, and goals. Identify the highest-value AI opportunity and define success metrics.

02

Prototype

We build a focused proof-of-concept in 2–4 weeks. Fast feedback cycles, no overengineering.

03

Pilot

Deploy with real data in a controlled environment. Measure against benchmarks, iterate on edge cases.

04

Deploy & Iterate

Ship to production with monitoring, human-in-the-loop safeguards, and a clear handoff plan.

Security-first architecture
Human-in-the-loop by design
Vendor-agnostic stack
Evaluation-driven development
Capabilities

What We Build

Enterprise AI solutions across the full stack.

Agentic Workflows & Automation

Multi-step AI agents that orchestrate tools, APIs, and human approvals. Built on LangGraph, LangChain, and custom orchestrators.

Enterprise Knowledge Assistants

RAG-powered assistants that search across your documents, wikis, and databases with source attribution.

Custom ML Models

Forecasting, classification, anomaly detection, and ranking models trained on your proprietary data.

Document Intelligence

Extract structured data from PDFs, emails, and forms at scale. Output to any downstream system.

Data & ML Platform

End-to-end MLOps/LLMOps: data pipelines, model registries, deployment infrastructure, and evaluation harnesses.

Computer Vision

Object detection, segmentation, and tracking for medical imaging, manufacturing QA, and video analytics.

Technology

Our Tech Stack

Model-agnostic. Framework-flexible. Production-hardened.

LLMs

OpenAIAnthropicGoogle GeminiMistral

Agent Frameworks

LangGraphLangChainLlamaIndexSemantic Kernel

ML / CV

PyTorchTorchVisionOpenCVYOLO (Ultralytics)segmentation-models-pytorch

Deployment

DockerKubernetesAWSGCPAzure

Observability

LangSmithPhoenix (Arize)PrometheusGrafana
Why ABHIX

Production systems, not slide decks.

We write code

Our team builds, trains, and deploys. Every engagement produces working software and measurable results.

End-to-end delivery

From data pipeline to production deployment—we own the full stack so nothing falls through the cracks.

Evaluation-driven

Every system ships with benchmarks and monitoring. If it can’t be measured, we don’t ship it.

Domain expertise

Healthcare, fintech, manufacturing—we understand the data, compliance, and workflows specific to your industry.

FAQ

Frequently Asked Questions

We work with enterprises and growth-stage companies across healthcare, fintech, hospitality, manufacturing, and professional services. If you have a real business problem and data to work with, we can help.
Yes. Custom model development is a core part of what we do. We work with your proprietary data, define evaluation criteria, and train models suited to your specific domain and requirements.
Yes. All our products and solutions are containerized and can be deployed entirely on-premises or in your private cloud. We never require your data to leave your infrastructure.
It depends on scope and data readiness. Discovery + prototype typically runs 2–4 weeks. A full pilot with evaluation and iteration usually spans 6–12 weeks. We scope each engagement individually.
We ship production systems, not slide decks. We write code, train models, build pipelines, and deploy. Every engagement is evaluation-driven—if it can’t be measured, we don’t ship it.
Yes. We provide AI-focused staff augmentation and subcontracting for companies building or scaling AI-driven platforms. Our engineers embed directly into your team.

Ready to get started?

Tell us about your project and we’ll get back to you within one business day.