Avanzar Solution — Generative AI & ML Engineering
Generative AI & ML Engineering

We build intelligent software, not just software with AI bolted on.

From LLM-powered product features to custom model fine-tuning, our AI/ML team embeds generative intelligence directly into your product — production-grade, not a demo.

40+AI Projects Shipped
84msAvg. Inference Latency
27%Avg. Accuracy Lift
Capabilities

Everything you need to ship AI features

Six core capabilities, each production-tested — not research demos that fall apart outside a notebook.

01

Custom LLM Integration

Production-ready integrations with GPT, Claude, and open-source models, tuned to your data and workflows.

02

RAG Pipelines

Retrieval-augmented generation over your own documents, databases, and knowledge bases — grounded, not hallucinated.

03

AI Agents & Automation

Multi-step agents and workflows that remove manual work from your product and internal operations.

04

Predictive & ML Models

Forecasting, recommendation, and classification models trained and validated on your real-world data.

05

Computer Vision

Image and video understanding — detection, classification, and OCR pipelines built for production traffic.

06

Fine-tuning & Evaluation

Domain-specific fine-tuning with rigorous eval harnesses, so quality is measured, not assumed.

Use Cases

AI built for your industry

The same core capabilities, applied differently depending on what your business actually needs.

Social Media

Content & Engagement AI

Auto-generated captions, engagement prediction, and audience segmentation from behavioral data.

Pharma

Compliance & Research AI

Document extraction from regulatory filings, adverse-event pattern detection, batch-report summarization.

Finance

Risk & Reconciliation AI

Fraud pattern detection, automated reconciliation, and document-driven underwriting assistance.

Healthcare

Clinical Support AI

Intake summarization, appointment triage, and patient-history search across unstructured records.

Manufacturing

Predictive Maintenance AI

Sensor-driven failure prediction, defect detection from imagery, and downtime forecasting.

How We Work

From idea to production model

Four stages, each with a concrete deliverable — no open-ended "AI exploration" phases.

01

Discover

We map your data, workflows, and success metrics before writing a line of model code.

02

Design

Architecture, model selection, and evaluation plan — reviewed with you before build starts.

03

Build

Iterative development with weekly demos against real data, not synthetic benchmarks.

04

Deploy & Iterate

Production rollout with monitoring, plus a feedback loop to keep improving after launch.

Our Stack

Tools we build with.

OpOpenAI
AnAnthropic
LcLangChain
HfHugging Face
PtPyTorch
PcPinecone
40+AI Projects Delivered
84msAvg. Inference Latency
27%Avg. Accuracy Lift
98%Client Retention
Let's Build

Ready to put AI to work inside your product?

Tell us what you're trying to solve — we'll tell you honestly whether AI is the right tool for it.

Build with AI →