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Long Tail Ventures
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Data systems & autonomous AI agents

From Messy Data to Measurable Returns.

Modern data systems that launch and scale AI, faster

Schedule 30-Min Free Consultation (opens in a new tab) See the methodology

Proven outcomes across

  • E-Commerce Scale-Ups
  • Telehealth Pioneers
  • Retail Platforms
  • Digital Health
  • VC Portfolio Companies
  • Fleet & Logistics
  • Pharmacy Networks
  • Marketplace Operators

Methodology

Assess, Build & Scale.

Diagnose the waste before building anything. Then prove what the build returned.

01

Assess

Diagnostic & Blueprint

02

Build

Embedded Execution

03

Scale

Board-Ready ROI

Baseline Data: Savvy AI: Experimental

We combine executive strategy, stakeholder surveys, discovery workshops and your own data to establish where the value actually is — and what it is costing you not to have it.

  • 4-point diagnostic assessment
  • Clear value blueprint roadmap
  • Calibrated maturity baseline

Assessment process

  • 01 Strategy review
  • 02 Stakeholder surveys
  • 03 Discovery workshops
  • 04 Data collection

Value blueprint

Data maturity
Savvy
AI maturity
Experimental
Est. recoverable
1,940 hrs / quarter

Flywheels

Data maturity feeds AI momentum.

Two loops that drive each other. Foundations raise capability; capability funds the next round of foundations.

Data Flywheel

Foundational engine feeding AI capability.

Data maturity

Non-standardised manual reports.
Standardised BI reporting.
Data-driven decisions for key initiatives.
Embedded data in every business process — no data, no decision.

People at Aware

Expertise sits with one or two individuals. Everyone else works around the data rather than with it.

AI Flywheel

Self-reinforcing ROI loop that pays for its own next turn.

AI maturity

Sceptical culture, minimal knowledge.
Small-scale pilots and tool evaluation.
Deploying AI for targeted workflows and GenAI.
Extensive AI integration and strong governance.
Cutting-edge research, state-of-the-art AI.

+ Hours saved
= Next cycle funded

Assess live usage patterns and score AI spend to find real waste.

Reach Savvy to turn the loop

Capabilities

What we build.

Three engineering pillars, delivered end to end rather than advised on.

  • 01

    AI Agents

    Custom operating systems for the business — live data catalogs, internal wikis and knowledge graphs that agents can actually act on.

    • Custom agents
    • Data catalogs
    • Knowledge graphs
  • 02

    Data Platforms & Cloud Foundations

    Streamlined lakehouse architecture deployed as infrastructure as code on secure cloud foundations, unifying 600+ pre-built connectors into AI-ready pipelines.

    Live architecture flow

    Our platform for turning data and logic into autonomous action.

    Visit LatticeKit (opens in a new tab)
  • 03

    Full Stack Apps

    Centralised interfaces that consolidate the metrics and carry the mission-critical automation your teams run on.

    • Internal tools
    • Automation
    • Dashboards

Impact

Empirical, not anecdotal.

Outcomes classified by sector. Client names are withheld by design.

Highlighting 3 of 3 case studies.

  • Healthcare & Operations

    Patient Scheduling Engine

    5 days

    New patient wait times

    Real-time booking integration paired with predictive wait-time scoring removed the scheduling buffers, cutting new-patient waits from more than five days and giving clinics live visibility of their own capacity.

  • E-Commerce & Scale-Ups

    Real-Time Data Engine

    24 hour delay

    Real-time scale & insights

    A modern Google Cloud lakehouse — BigQuery, Pub/Sub, dbt and Looker — replaced a legacy platform that could not scale to demand, eliminating a 24-hour update lag and putting instant operational visibility in front of leadership.

  • Healthcare & Logistics

    Fulfilment & Dispatch Engine

    0%

    24-hour order fulfilment

    Geospatial mapping paired with a real-time predictive routing engine rebuilt dispatch around real travel times, lifting 24-hour fulfilment from under 30% across the network.

Introductory discovery call

Let’s explore where data & AI can drive value for your business.

Schedule an initial 30-minute conversation with Fran van Heerden (Founder & CEO). A low-pressure discussion to understand your setup and explore quick wins.

  • Understand your current data setup & operational bottlenecks
  • Explore high-yield opportunities for AI automation & scale
  • Discuss potential ROI, timing, and practical next steps

No pitch, no pressure — just an open chat about your technology goals.