[ Data Engineering & ML ]

Clean Data In. Intelligent Decisions Out.

AI is only as good as the data that feeds it. We build the pipelines, processing systems and ML infrastructure that transform raw data into intelligent applications. From data ingestion and transformation to model training and deployment — reliable, monitored and scalable. Our own products are proof: HeuriSight processes educational assessments through a dual-engine RAG+HAG pipeline, and SwarmScope's GraphRAG extracts entity graphs from unstructured text.

[ What’s included ]

01

Data Pipelines

Ingestion, transformation, validation and delivery pipelines that handle your data reliably. Batch and real-time, depending on your needs.

02

ML Model Development

Custom model training, fine-tuning and evaluation. We build models tailored to your data and your problem — not off-the-shelf solutions that get you 80%.

03

RAG & Knowledge Systems

Retrieval-Augmented Generation pipelines, vector databases, embedding strategies and knowledge graph construction. We've built multiple production RAG systems.

04

MLOps & Deployment

Model serving, monitoring, versioning and retraining infrastructure. Production ML that stays accurate over time.

[ How it goes ]

  1. Data AssessmentWe audit your data sources, quality, volume and gaps. Understanding what you have determines what we can build.
  2. Pipeline DesignArchitecture for data flow — ingestion, transformation, storage and serving. Designed for your scale and latency requirements.
  3. Build & ValidatePipeline development with data quality checks at every stage. Models trained and validated against your success metrics.
  4. Deploy & MonitorProduction deployment with monitoring, alerting and documentation. Your team can operate it independently after handover.
Dual-EngineRAG+HAG system shipped (HeuriSight)
GraphRAGEntity extraction pipeline (SwarmScope)
ProductionAll ML systems deployed live
End-to-EndData to deployment
PythonPyTorchPandasFastAPIPineconeNeo4jPostgreSQLDocker

[ Also from the studio ]

  1. 01

    AI Product Engineering

    Service
  2. 02

    MVP & Rapid Prototyping

    Service
  3. 03

    Full-Stack Development

    Service
  4. 04

    Cybersecurity & Auditing

    Service
  5. 05

    Blockchain & Web3

    Service

[ Your turn ]

Have a hard problem?
Let’s build the answer.