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Data engineering · Analytics · AI agents

We turn messy data
into clear decisions.

Your numbers live in six different tools and someone rebuilds the same report by hand every month. We fix the foundation underneath — then make it visible, then automate what is left.

Experience the way we help you reach your goals.

0

Services

data, ML, AI and CRM

0+

Tools in the stack

nothing proprietary

0/7

Pipelines running

monitored, not babysat

0 day

Reply time

usually much faster

PythonApache AirflowApache SparkKafkaDockerMySQLPostgreSQLNoSQLDatabricksAWSGoogle CloudAzurePandasPower BIscikit-learnMLOpsRAGVector searchClaude APIOpenAI APIn8nPostmanCRM integration

What we do

Seven services, built in the right order.

Engineering builds the foundation. Analytics and machine learning make it useful. AI and agentic systems automate on top of it. CRM ties it back to the people who sell. Skip a step and the one after it works against you — dashboards on messy data show wrong numbers, and agents on messy data make mistakes faster.

01

The foundation

Data Engineering

Pipelines that keep your data clean, reliable and flowing.

Your numbers live across six different tools and someone exports them by hand every month. We replace that with orchestrated pipelines that pull from every source automatically, validate on the way in, and land everything in one warehouse your whole team can trust.

Acquisition & orchestration

Automated ingestion from every system you depend on, scheduled and monitored.

PythonApache AirflowDockerPostmanAPI integration

SQL & warehousing

One modelled store your whole team queries, instead of disagreeing exports.

MySQLPostgreSQLDimensional modellingETL / ELTData warehousing

Big data & streaming

Volume and real-time pipelines when batch processing is no longer enough.

Apache KafkaApache SparkNoSQLStreaming pipelines

Cloud platforms

Built and deployed in your own cloud accounts, documented and handed over.

AWSGoogle CloudAzureDatabricks

You need this if

  • Reports are built by copy-pasting exports
  • Two people produce two different numbers
  • Nobody is sure which spreadsheet is current
Talk about this
02

The intelligence

Analytics & Machine Learning

Dashboards that show what happened, and models that predict what comes next.

Once the foundation is solid, the numbers become useful. Analytics tells you what happened and why; machine learning tells you what is likely to happen next — which customers will churn, what demand looks like next quarter, which segments are worth the spend.

Data Analytics

Live dashboards, statistical analysis and reports your team reads without asking us.

PandasNumPyMatplotlibEDARFM analysisGeospatial intelligencePower BILooker StudioMetabase

Statistical inference

Proving whether a change actually worked, rather than assuming it did.

Hypothesis testingA/B testingCLT methodsLinear regression

Machine Learning

Models that classify, cluster, recommend and forecast — deployed, not left in a notebook.

Decision TreesRandom ForestSVMK-MeansHierarchical clusteringRecommendation systemsForecastingDeep learningMLOps pipelines

You need this if

  • You wait days for a number you need today
  • Decisions get made on instinct, then justified later
  • Nobody has tested whether the last change worked
Talk about this
03

The leverage

Generative AI, Agents & Agentic Systems

Three distinct capabilities — generation, conversation, and autonomous execution.

These get lumped together as “AI”, but they solve different problems. Generative AI produces and understands content. An AI agent answers questions from your own data. An agentic system goes further — it plans and executes multi-step work across your tools with a human approving the outcome.

Generative AI

Understanding and producing content: reading invoices and contracts, summarising documents, drafting responses, and making company knowledge searchable in plain English.

RAGVector searchDocument processingPrompt engineeringAWS PartyRock

AI Agents

A single-purpose agent that answers from your live systems — checking a real order, quoting a real price — and hands to a human when it does not know, instead of inventing an answer.

Claude APIOpenAI APIHuman handoverConversation loggingGuardrails

Agentic AI

Systems that run multi-step work end to end: read the email, extract the order, update the CRM, notify the team, log it — planning each step rather than following a fixed script.

Multi-step orchestrationTool usen8nEvent-driven triggersMonitoring

You need this if

  • The same twenty questions arrive every single day
  • Routine multi-step admin work grows faster than the team
  • Documents get read and re-typed into another system by hand
Talk about this
04

The connection

CRM & Business Systems

A CRM that reflects reality, connected to everything else you run.

A CRM is only as good as the data inside it. We implement, migrate and customise CRMs, then connect them to the rest of your stack so records update themselves — and the reporting on top actually matches what finance and operations see.

Implementation & migration

Setting up a CRM properly, or moving off one without losing history.

Setup & configurationData migrationDeduplicationField mapping

Integration

Two-way sync between the CRM and your warehouse, billing, support and marketing tools.

API integrationTwo-way syncWebhooksWarehouse connection

Automation & reporting

Lead routing, follow-up sequences and pipeline reporting that matches the real numbers.

Lead routingWorkflow automationPipeline dashboardsAlerting

You need this if

  • Sales, finance and support each quote a different customer count
  • Records are updated manually, or not at all
  • Nobody trusts the pipeline forecast
Talk about this

How we work

From scattered exports to one source of truth

Every engagement follows the same path. You see working pipelines in stages — we do not disappear for a month and return with a slide deck.

Sources

01

apps, sheets, APIs

We map where your data actually lives today - including the spreadsheet nobody talks about.

Pipeline

02

extract, clean, load

Orchestrated ingestion with validation, so errors get caught before anyone sees them.

Warehouse

03

one source of truth

A single modelled store your whole team queries, instead of six disagreeing exports.

Decisions

04

dashboards, models, agents

Live dashboards, real analysis and automation built on data you can finally trust.

Ways to work together

Free Demo

Free

1 call, ~30 minutes

For anyone unsure whether they have a real problem yet.

  • We map where your data lives today
  • You get an honest read on what is worth fixing first
  • If nothing needs fixing yet, we say so

Foundation Build

Project-based

2-6 weeks

For teams drowning in manual exports and untrusted numbers.

  • Pipelines from every source you depend on
  • Warehouse setup, modelling and validation
  • Core dashboards on top of the new foundation
  • Handover documentation and team walkthrough

Ongoing Partner

Monthly retainer

Rolling, cancel anytime

For companies whose data needs keep growing.

  • Pipeline monitoring and maintenance
  • New dashboards, analysis and models as you need them
  • AI agents built and tuned over time
  • Priority response on anything urgent

Working with us

What you can expect, not just what we promise

We're a new studio and would rather earn trust than manufacture it. Here's what's true right now, and what stays true as we grow.

A free demo before you spend anything

We look at your setup and tell you honestly what's worth fixing — including when the answer is nothing, yet.

You own everything, completely

Code and data land in your own repositories and cloud accounts. No proprietary layer, no lock-in.

Direct access to the person doing the work

No account manager relaying messages. You talk to the engineer who writes the pipeline.

A reply within one working day

Usually much faster. Every enquiry gets read by a person, not routed through a queue.

Currently onboarding our first partners — every project gets full attention, not one of fifty accounts.

About

A specialist team, not a general agency

ApexVortex Solutions is a data team based at Iconic Trade Center, Karachi, led by Haziq Nadeem. Between us we cover the full path — orchestration and warehousing, statistical analysis and machine learning, and the AI automation layer on top.

We stay deliberately specialised. We do not also do logos, ads and websites; we do data infrastructure and the things built directly on it. That focus is why we can tell you honestly when a problem is not worth solving yet, instead of finding something to bill for.

The company is new, and we would rather say that plainly than invent case studies. What we offer instead is a free demo: bring your setup, get an honest read on what is worth fixing, and decide afterwards whether we are useful to you.

At a glance

Founded
2026
Led by
Haziq Nadeem — Founder & Lead Data Engineer
Office
Iconic Trade Center, Karachi
Working with
Working with clients across Pakistan and worldwide
Hours
Mon-Sat, 10:00-19:00 PKT · PKT (UTC+5)

Questions

Answered before you ask

We're small. Is it too early for this?

Often, yes - and we will tell you. The free demo exists precisely so you do not pay to find out. If your data fits in one spreadsheet and one person reads it, you do not need pipelines yet. It becomes worth it once several tools disagree, or someone spends real hours every month assembling reports by hand.

Do we have to move to new tools?

No. We work with what you already use wherever possible. Migrations are expensive and disruptive, so we only recommend one when the current setup genuinely cannot carry where you are going - and we explain exactly why before anything changes.

How long does a first project take?

Most foundation builds run two to six weeks depending on how many sources are involved and how messy the data is. You see working pipelines well before the end - we ship in stages rather than disappearing for a month.

Who owns the code and the data?

You do, completely. Everything is delivered into your own repositories and cloud accounts, documented so another engineer can pick it up. There is no lock-in and no proprietary layer you have to keep paying us for.

Can you build AI agents without the data work first?

We can, but we rarely recommend it. An agent built on messy data produces confident wrong answers faster than a human would. If the foundation is weak, fixing it first makes the agent dramatically more useful - and cheaper to run.

How does pricing work?

Projects are quoted as a fixed scope after the demo, so there are no hourly surprises. Ongoing work is a monthly retainer you can cancel. You will always know the number before work starts.

Do you work with teams outside Pakistan?

Yes. The team is based in Karachi and works remotely with clients in other time zones. Most collaboration happens over calls and shared repositories, and we overlap with European and Gulf working hours comfortably.

Start here

Book a free demo

Tell us where your data lives and what it costs you every month. We will map it, tell you what is worth fixing first, and be straight with you if the answer is “not yet”. No slide deck, no obligation.

Office
Iconic Trade Center, Karachi

WhatsAppFree demo