Raw data in.AI insights out.
We design and build custom AI data pipelines that classify, summarize, extract, score, and transform your data at scale — from batch processing to real-time streaming with sub-100ms inference.
Avg Inference Time
< 100ms / record
100M+
Records Processed
< 100ms
Inference Latency
95%+
Model Accuracy
99.9%
Pipeline Uptime
Enterprise-grade pipeline infrastructure.
Python
Pipeline Core
OpenAI
LLM Processing
Apache
Kafka / Spark
Airflow
Orchestration
Supabase
Data Store
FastAPI
API Layer
AWS
Cloud Infra
Docker
Containers
Every pipeline type. Production-grade.
AI Classification Pipelines
Classify incoming data — emails, support tickets, transactions — into categories with 95%+ accuracy using fine-tuned models.
Summarization Engines
Auto-summarize long documents, meeting transcripts, research reports, and customer feedback at scale.
Entity Extraction & NER
Extract names, dates, amounts, products, and custom entities from unstructured text across millions of records.
Scoring & Ranking
Build AI-powered lead scoring, content ranking, fraud detection, or risk assessment pipelines.
Real-Time Stream Processing
Process live data streams with AI inference in under 100ms using Kafka + model serving infrastructure.
Data Validation & Quality
AI-powered data quality checks, anomaly detection, and automatic correction pipelines before data hits your warehouse.
From raw data to AI-powered intelligence.
Data Source Audit
Map all data sources — databases, APIs, files, streams — and define transformation requirements.
Pipeline Architecture
Design the ETL/ELT flow, AI processing stages, error handling, and output schema.
Model Selection & Integration
Choose and integrate the right AI model — classification, summarization, extraction — with batching optimizations.
Build & Orchestrate
Develop the pipeline with Airflow or custom schedulers, containerized in Docker for reproducibility.
Accuracy Benchmarking
Run precision/recall tests, compare against baselines, and iterate until performance targets are met.
Deploy & Observe
Deploy to production with Grafana dashboards, alerting, and model performance monitoring.
"DevTaastic's pipeline now classifies 2 million product listings per day for our marketplace. Accuracy went from 74% (rule-based) to 98.2% with their AI model. Game-changing."
Tom C.
CTO, MarketHub
Frequently Asked Questions
Let's build your AI pipeline today.
Share a sample of your data and we'll run a free accuracy benchmark with our models — so you can see the lift before committing.