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SERVICES

Data, AI and engineering, delivered by one team.

Six service lines that take a business from scattered spreadsheets through to working models and the systems that run them. Scoped properly, built on the tools you already use, and supported after launch.

Book a Discovery Call See all services

30 minutes, no cost, and a straight recommendation whether or not you engage us

We build and operate our own platforms

AccrualOS VCPility eTakeaway Max Divine Lab Worx Flagman
SERVICE LINES

Everything we can be engaged to build

Each line runs on its own stacks with the others. Most engagements start with one and grow from there.

01

Data Analytics & BI

Dashboards and reporting that replace manual exports.

02

Machine Learning

Prediction, forecasting and recommendation models.

03

Deep Learning &
Computer Vision

Image, video and sensor intelligence.

04

Natural Language Processing

Text, documents and conversation at scale.

05

Agentic AI & Automation

Assistants and multi step workflows with governance.

06

Data Engineering & Cloud

Pipelines and deployment that keep everything fed.

NEXT

Not sure where to start?

Tell us the process that wastes the most time.

01 · DATA ANALYTICS & BUSINESS INTELLIGENCE

One version of the truth, live

We connect the systems a business already runs and turn them into dashboards that answer real questions. Reporting stops being an end of month exercise and becomes something the team checks on a Tuesday morning.

Best for: businesses running reporting across several disconnected tools, or rebuilding the same spreadsheet every month.
WHAT WE DELIVER
  • Power BI and Tableau dashboards built around actual decisions
  • Direct source connections to POS, CRM, accounting and marketing platforms
  • KPI definitions, access rules and validation so the numbers agree
  • Time series analysis, trend and volatility reporting, forecasting
02 · MACHINE LEARNING & PREDICTIVE ANALYTICS

Models that make the call before you have to

Once the data is connected, it can do more than describe the past. We build classification, recommendation and prediction models on top of it, with evaluation reported honestly so the business knows exactly where the model can be trusted.

Best for: operators who can see a pattern in their numbers but cannot act on it fast enough by hand.
WHAT WE DELIVER
  • Churn and risk scoring, demand and revenue forecasting
  • Recommendation models for next best offer, upsell and product or menu suggestions
  • Anomaly detection on transactions and operational data
  • Feature engineering, model evaluation and a documented accuracy statement
03 · DEEP LEARNING & COMPUTER VISION

Intelligence that can see what people miss

We apply deep learning to images, video and sensor data to identify patterns, conditions and events that are difficult to monitor manually.

Best for: businesses where visual or sensor information is critical to quality, safety or operational decisions.
WHAT WE DELIVER
  • Image classification and object detection systems
  • Video intelligence and automated visual inspection
  • Vision-language model analysis for complex visual data
  • Sensor intelligence and real-time event detection
04 · NATURAL LANGUAGE PROCESSING

Turn documents and conversations into usable intelligence

We build systems that understand, classify and extract information from documents, messages and business conversations at scale.

Best for: teams spending significant time reading, searching or manually processing text-based information.
WHAT WE DELIVER
  • Document extraction and intelligent classification
  • Semantic search and knowledge retrieval
  • Conversational AI and business assistants
  • Text analysis, summarisation and information extraction
05 · AGENTIC AI & AUTOMATION

AI that moves work forward

We design AI agents and automated workflows that can reason across business systems, complete repetitive tasks and escalate decisions when human oversight is required.

Best for: teams with repetitive multi-step processes that consume skilled people's time.
WHAT WE DELIVER
  • AI assistants connected to business systems
  • Multi-step agent workflows and process automation
  • Human-in-the-loop approval and escalation
  • Monitoring, governance and workflow evaluation
06 · DATA ENGINEERING & CLOUD

The infrastructure that keeps everything moving

We build reliable data pipelines and cloud infrastructure that connect operational systems and make trusted data available wherever the business needs it.

Best for: organisations dealing with fragmented systems, unreliable pipelines or growing data workloads.
WHAT WE DELIVER
  • Modern data pipelines and ETL/ELT workflows
  • Cloud data platforms and scalable infrastructure
  • Data quality, monitoring and governance
  • Deployment pipelines and production-ready environments
How We Work

From first call to something that runs

  1. 01

    Discovery call

    Thirty minutes on the problem, the systems involved and the decision the work is meant to support. We tell you at the end whether we are the right fit.

  2. 02

    Audit and scope

    We map the real sources, access and data quality before quoting. Estimates written before this step tend not to survive contact with the data.

  3. 03

    Build

    Delivered in stages against the agreed scope, with something running end to end early enough that direction can still change cheaply.

  4. 04

    Test and evaluate

    Test coverage on the code, evaluation metrics on the models, and failure cases written down instead of discovered in production.

  5. 05

    Launch and train

    A live walkthrough with the team, full documentation, and access handed over so the business can self serve from day one.

  6. 06

    Manage and improve

    An optional retainer keeps what we built accurate as the business, its tools and its data change.

WHY SHARKTECH

What makes these services different

We run our own platforms

AccrualOS, VCPility and eTakeaway Max are ours. We build and operate production systems every day, so we scope client work against what actually survives in production.

One team, six capabilities

Analytics, models, automation and the pipelines underneath them come from the same team. No coordinating three vendors who each blame the other two.

We say no to the wrong work

If a problem does not need a model, or needs something outside our scope, we say so in the first call rather than selling a build that will not hold up.

Capability Stack Capability Stack

What we build with

Analytics & BI

Power BI Tableau SQL Excel

AI & Machine Learning

Machine learning Deep learning Computer vision NLP LLMs RAG Vision language models Agentic AI Model evaluation

Data & Cloud

AWS ETL workflows Data pipelines Databases

Governance & Quality

Model evaluation sets Access control Technical documentation Runbooks
FAQ FAQ

Frequently Asked Questions.

Do we need to be an existing Sharktech client?

No. These services are open to any Australian business. Clients already running AccrualOS, VCPility or eTakeaway Max have a head start, because we can connect that data as a native source rather than an integration project, but it is not a requirement.

Can we start with one service and add others later?

That is the normal path. Most engagements begin with analytics or a single build, then extend into models, automation or pipelines once the data foundation is in place and the business can see what it now has available.

Do you replace our existing IT provider?

No. Day to day IT support, devices and networks stay where they are. We work on the data, AI and application layer above that, and we are comfortable coordinating with whoever holds the access.

How do you handle our data and access?

Agreed in writing before any build starts: what data is used, where it is stored, who can see it, and how credentials are scoped and revoked at handover. Access is limited to the systems the engagement actually requires.

Is this project work or an ongoing service?

Both are available. Builds are delivered as fixed scope projects, with an optional monthly retainer covering refreshes, new requests, monitoring and support once the system is live.

What if our data is messy or spread across too many tools?

That is the normal starting point and the reason the audit step exists. Mapping and reconciling scattered sources is part of the work, not a prerequisite you need to solve before calling us.

CLIENT TESTIMONIAL CLIENT TESTIMONIAL

Hear From our Clients

Testimonials will be updated soon

Connect With Us

Tell us what is slowing the business down

Book a discovery call and we will tell you which of these services applies, which do not, and what a first engagement would realistically involve.

Review the service lines Book a discovery call

30 minutes, no cost, and a straight answer either way