Start a project

GrowthGear builds the data pipelines, analytics and AI systems that turn scattered data into decisions your teams can act on.

Start a projectHow it works

Our view

Most companies don’t have an AI problem. They have a data problem: twelve systems, three versions of the truth and a dashboard nobody trusts. We fix the foundation first, then build the analytics and AI that run on it.

Services

Three layers. One system.

Each layer is only as good as the one beneath it, so we design and build them together.

Layer 1

Data engineering

We connect your sources, model them in a modern warehouse or lakehouse, and test every step so the numbers hold up.

  • Ingestion and integrationFivetran, Airbyte, CDC
  • Warehouse and lakehouseSnowflake, Databricks
  • Modelling and testingdbt
  • OrchestrationAirflow, Dagster
Explore data engineering →
SourcesStagingModelsServecrm.accountserp.ordersfinance.xlsxevents.apistg_customersstg_ordersfct_revenuedbt modelWarehousedaily✓ not_null(order_id)✓ unique(customer_id)✓ accepted_values(region)
Fig. 2  A pipeline from source to warehouse, with tests at every step.Illustrative

Layer 2

Analytics

One set of metric definitions behind every chart, so finance, sales and operations finally agree on the numbers.

  • Semantic layersdbt, Cube
  • DashboardsPower BI, Looker
  • Self-serve analyticsGoverned access
  • ForecastingPython
Explore analytics →
North+36.7%
$1.71M
South+44.3%
$1.86M
East+10.2%
$1.40M
West+32.6%
$1.74M
Central+12.7%
$1.46M
Online+48.9%
$2.04M
Fig. 3  Six regions, one definition of each metric.Illustrative data

Layer 3

Applied AI Applications

Generative AI assistants and the web and mobile applications around them, grounded in your governed data, with a source for every answer and people approving anything that matters.

  • Natural-language queryingText to SQL
  • Retrieval and searchRAG
  • Workflow agentsHuman in the loop
  • Web and mobile appsReact, Node.js
Explore applied ai applications →

Q.

    Fig. 4  An answer with its working and its sources.

    How we staff it

    Senior engineers work inside your team, using AI-assisted delivery to ship faster while you keep ownership.

    Process

    How we work.

    Four stages, each ending in something you can use. Senior engineers throughout, with no hand-off to a junior bench.

    01/ 04  ·  1–2 weeks

    Discover

    We listen first. We talk to the people who live with the problem, and find out what it costs and what is really in the way.

    You get

    • The pain points, ranked by what they cost the business
    • Goals and how success will be measured
    • A map of the people, systems and data involved
    Discovery notesYour company · Week 1
    Pain pointRaised byCost
    Monthly report takes two days to assembleFinanceHigh
    Three teams, three different numbersOperationsHigh
    Customers wait days for an answerSupportMedium
    Staff re-type the same detailsSalesMedium
    Agreed focus

    Start with the problem that costs the most time every month.

    Illustrative example

    02/ 04  ·  1–2 weeks

    Define

    We turn what we heard into a plan: the options, our recommendation and the order things ship in, sized to your team and budget.

    You get

    • A recommended approach, with the alternatives and trade-offs
    • A roadmap that ships value every few weeks
    • Fixed scope, time and cost for the first release
    ProposalFirst release
    • Option A

      Fix the process only, keep the tools you have

      Considered
    • Option B

      Build one focused application around it

      Recommended
    • Option C

      Replace everything at once

      Too risky
    Roadmap
    Core workflowReportingIntegrations
    Wk 1Wk 4Wk 8Wk 12

    Illustrative example

    03/ 04  ·  6–10 weeks per release

    Build

    Short cycles and production-quality work from the start, built alongside your people and demoed every sprint.

    You get

    • Working software every two weeks
    • Tests, reviews and documentation as standard
    • Your team involved at every demo
    Sprint 3 demoFriday, with your team
    • Done

      Request form with validation

      tested · reviewed by your team
    • Done

      Manager approval screen

      tested · demoed Friday
    • Doing

      Weekly report, sent automatically

      in progress · tests running

    Illustrative example

    04/ 04  ·  Ongoing, then handover

    Launch and support

    We launch with you, watch it in production, and hand over when your team is ready to own it. Or stay on, if you prefer.

    You get

    • Monitoring and alerts from day one
    • Documentation and training for your team
    • A clean handover, or a support retainer
    LiveIn production

    • Application

      running normally

    • Nightly data refresh

      completed 4 min ago

    • Alerts

      none open
    Handover
    • Documentation written
    • Team trained
    • Support route agreed
    • Repository ownership transferred

    Illustrative example

    Work

    Selected work.

    Real engagements, with client names withheld. Each one shows what we built, how it went and what changed.

    See all work, filter by service

    Track record

    Proof, not promises.

    Five years of shipping data, analytics and AI work for teams in consumer goods, government, marketing, hardware and education.

    • 0+Projects deliveredover 5+ years
    • $0M+Revenue impactedfor the businesses we work with
    • 0%Repeat or referredof our work comes from clients we already know

    Working together

    Two ways to work together.

    Choose the shape that fits how you buy. Both are run by the same team, and both end with your people able to own the result.

    Model 1

    Retainer and managed services

    A standing team that runs, improves and extends your data and AI systems month after month.

    • Capacity reserved for you every month
    • Monitoring, fixes and improvements
    • Priorities agreed with you every sprint
    Model 2

    Custom development project

    A defined scope and a clear outcome. We design, build and hand over one specific system.

    • Scope and cost agreed before we start
    • Delivered in short, demoed cycles
    • Handover to your team, with support if you want it

    No commitments required. Free project discussion.

    Book a free 15-minute call

    Stack

    Vendor-neutral. Production-grade.

    We work in the tools you already own, or recommend the ones that fit your team, cloud and budget. We have no reseller deals, so the advice is only about fit.

    01

    No lock-in

    Everything we build lives in your repositories and your cloud accounts, from day one.

    02

    Infrastructure as code

    Every environment can be rebuilt from scratch, reviewed and versioned like the rest of the code.

    03

    Open formats

    Data stays in open tables and standard SQL, so you can change tools later without a migration project.

    01

    Data platform

    Where your data lives and how it gets there.

    • SnowflakeCloud warehouse
    • DatabricksLakehouse
    • Apache DorisReal-time analytical database
    • PostgreSQLOperational data
    • DuckDBFast local analytics
    • ClickHouseReal-time analytics
    02

    Pipelines

    Moving and modelling data, tested at every step.

    • AirbyteIngestion connectors
    • FivetranManaged ingestion
    • dbtModelling and tests
    • Apache AirflowOrchestration
    • PrefectOrchestration
    • Apache KafkaStreaming
    • Apache SparkLarge-scale processing
    03

    Analytics

    Where people see and question the numbers.

    • LookerGoverned BI
    • Power BIMicrosoft BI
    • Apache SupersetOpen-source BI
    • MetabaseSelf-serve questions
    • StreamlitInternal data apps
    • GrafanaMonitoring dashboards
    04

    Applied AI

    Assistants and agents built on governed data.

    • PythonEverything glued together
    • LangChainAgent and retrieval workflows
    • Hugging FaceOpen models
    • QdrantVector search
    • MLflowExperiment tracking
    05

    Applications

    The interfaces people use every day.

    • ReactWeb interfaces
    • Node.jsServices and APIs
    • Redux ToolkitApplication state
    • FlaskPython web apps
    06

    Delivery

    How it ships and keeps running.

    • GitHubYour repo, your code
    • DockerPackaging
    • KubernetesRunning at scale
    • TerraformInfrastructure as code
    • PrometheusMetrics and alerting
    07

    Cloud

    Where it runs. We build on all three.

    • AWSCloud platform
    • AzureCloud platform
    • Google CloudCloud platform

    Logos belong to their owners and show tools we work with, not partnerships.


    Contact

    Book a free 15-minute call to talk through what you are working on.

    Book a free 15-minute callhello@growthgear.in

    How we connect

    1. 01Book a short call

      Choose a time that works for you on our calendar.

    2. 02Discovery call

      A short call to understand the problem, the people and the constraints.

    3. 03Final scope and kickoff

      We send a clear scope and cost. Once you agree, we start.

    Office

    393, WeWork Vijohn Tower, 3rd FloorUdhyog Vihar Phase-4, GurugramHaryana 122016

    Follow

    LinkedIn