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CryonityLabs_

Practice · 5 services

Data and Inference

Warehouses, scheduled pipelines and decision reporting built on agreed definitions, plus retrieval assistants and model feasibility work where machine learning is likely to pay its way.

₹15,999 – ₹48,999GST included

Services in this practice

A measured verdict on whether the data you hold can carry the model you have in mind, reached before any build is funded.

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You receive

  • Audit of data volume, quality, labelling and class balance
  • A baseline model trained on your data and scored
  • A side-by-side comparison with a plain rules-based approach
  • Feature analysis showing where the useful signal is concentrated

+ 3 more on the service page

A retrieval-augmented assistant that answers out of your own documents, cites the passage behind each answer and admits when it has none.

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You receive

  • Ingestion covering PDF files, word-processed documents, web pages and wiki content
  • Vector database with chunking and embeddings tuned to how your documents read
  • Retrieval and answer service that attaches a source to every response
  • A web chat widget, or a bot living inside your team chat

+ 3 more on the service page

Dashboards resting on governed queries and written definitions, shaped around the handful of decisions your leadership takes each month.

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You receive

  • Self-service reporting tool installed and connected to wherever the data lives
  • A governed model layer where joins, measures and filters are already set up
  • 4 dashboards: revenue, operations, usage of the product, and marketing
  • Groups of permissions, with row-level rules wherever they are warranted

+ 3 more on the service page

Orchestrated data pipelines with dependable retries, alerts and backfills, replacing the unwatched scheduled scripts your reporting quietly rests on.

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You receive

  • Orchestration tool running as a managed service or on your own container platform
  • As many as 8 pipelines, either converted from existing scripts or written fresh
  • Tasks made idempotent, with retry policies and timeouts that make sense
  • Stated dependencies, so a downstream task waits until its data is complete

+ 3 more on the service page

One analytics warehouse in which application, payment and advertising figures finally agree, modelled with tests and documentation generated from the models.

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You receive

  • Managed warehouse database provisioned, with access roles defined
  • Up to five sources loaded on a schedule, including your application database, payment gateway and advertising accounts
  • Staging, intermediate and mart layers shaped in a transformation framework
  • Uniqueness, referential integrity and staleness checks on the tables that count

+ 3 more on the service page

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