SINCE 2013 · LAHORE · DUBAI · TORONTO · BANGALORE

Software that ships.Systems that hold upin production. Teams that know how to use AI.

TechEsthete builds custom software, tests it end-to-end for security, takes teams through SOC 2 readiness with third-party audit partners, and trains engineers to work alongside modern AI.

120+

Tinuiti automations

3,500+

unified data backbone

20%

ops efficiency gain

Collab
#ETLPipelines#AdPlatforms#DataWarehouse#AIAgents#RealTimeBI
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Our valued clients

How we work — a live look at one of our pipelines

An example: ad-data pipeline, cleaned and modeled in real time.

This is one of the systems we build. Below: the software, security testing, and AI training practices that sit alongside it.

01 · INGEST

Four sources, one pipe

Scheduled API jobs pull from Google, Meta, Amazon, and TikTok. No manual CSV exports, no stale snapshots.

Google Ads
Google Ads
Meta Ads
Meta Ads
Amazon Ads
Amazon Ads
TikTok Ads
TikTok Ads
Google Ads
google_ads_2026.csv
Meta Ads
meta_campaigns.csv
Amazon Ads
amazon_ads_export.csv
TikTok Ads
tiktok_spend.csv
02 · CHAOS

Unstructured & incompatible

Every platform speaks a different language: mismatched columns, nulls, mixed currencies, four date formats in one table.

Google export
Google Ads
Day, Campaign, Cost03/14/26, Brand, $1,204ROAS: —
Meta export
Meta Ads
date_start, spend2026-3-14, 980.5clicks: null
Amazon export
Amazon Ads
Date, Spend(GBP)14-03, £740ACOS: 2,1
TikTok export
TikTok Ads
stat_date, cost—, 620impr: 1.2k
⚠ 11 column variants · 4 date formats · 3 currencies
03 · TRANSFORM

ETL cleans & unifies

One schema emerges: standardized names, ISO dates, normalized currencies. dbt tests catch what humans miss.

$ £ → USD4 date formats → ISOnull → coalesce(0)1.2k → 1204
datedate
platformplat.
spendspend
roasroas
clicksclk
03/14/26
google
$1,204
842
2026-3-14
META
980.5
null
1.2k
14-03
amzn
£740
2,1
503
tiktok
620
NULL
datedate
platformplat.
spendspend
roasroas
clicksclk
2026-03-1403-14
GoogleGoogle
1204.001204.00
3.423.42
842842
2026-03-1403-14
MetaMeta
980.50980.50
2.882.88
12041204
2026-03-1403-14
AmazonAmazon
926.30926.30
2.102.10
503503
2026-03-1403-14
TikTokTikTok
620.00620.00
1.951.95
389389
04 · WAREHOUSE

Modeled & versioned

Bronze → Silver → Gold layers land in Snowflake. One source of truth your dashboards and agents can trust.

Bronzeraw_ads_*
Silverstg_campaigns
Goldfct_spend_daily
12,480 rows synced · 47 dbt tests passing0 rows synced · 0 dbt tests passing
05 · ANALYZE

AI reads the warehouse

Agents scan spend patterns, surface anomalies, and write the insight before anyone opens a dashboard.

AGENT
Meta ROAS −8% · broad audience fatigue
Google CPC spike · 12 keywords flagged
Amazon ACOS above target · 3 ASINs
06 · ACT

Autonomous execution

No ticket. No standup. The agent cuts underperforming bids, shifts budget to winners, and closes the loop 24/7.

AUTO↓ Bid −12%Google · "running shoes" · ACOS 4.2→3.1
AUTO↑ Budget +$240/dayMeta · retargeting · ROAS 3.8
AUTO⏸ Pause ad clusterTikTok · ROAS < 1.2 · saved $180/day
Manual effort100%100%15%
Autonomous5%5%85%
↻ closed loop · agent monitoring 24/7
Security testing

Security testing, end to end. What we run for you every time.

Threat model through signed report — the same six-step cycle we run for scale-ups preparing for their first enterprise buyer.

01 · SCOPE

Assets in scope

Cloud accounts, repos, and running services mapped. Threat model and signed rules of engagement before anything runs.

api.prod · web.app · admin panel
aws accounts · github orgs
RoE signed · scope locked
02 · STATIC & DEPENDENCY

Static and dependency scans

SAST across the codebase, SCA against every dependency, secret scanning on git history and CI.

Semgrep: 3 routes flagged
Trivy: 2 CVEs in deps
Gitleaks: 0 secrets in history
03 · DYNAMIC & MANUAL

Dynamic and manual testing

DAST against the running app plus authenticated manual pentest by a senior tester.

Burp: auth flow mapped
ZAP: 4 endpoints scanned
Manual: privilege escalation tested
04 · FINDINGS

Actionable findings

CVSS-scored, reproducible, with concrete fix guidance and rollback impact. No junk noise.

TE-001 · High · IDOR on /api/reports/{id}
TE-002 · Medium · Missing CSP on admin panel
TE-003 · Low · Verbose error in staging API
05 · RETEST

Closed-loop retest

Every finding either closes or has a documented waiver once fixes ship.

TE-001 closed · verified
TE-002 closed · verified
TE-003 waived · documented
06 · EVIDENCE PACK

Ready for auditors

SOC 2, ISO 27001, or client-audit artefact bundle, ready to hand to our third-party audit partners.

SOC 2 evidence bundle
ISO 27001 control map
Partner handoff ready
What we build

Six pillars. One studio.

Software, security, compliance, AI, data, and cloud — one engineering studio from Lahore, Dubai, Bangalore, and Toronto.

🛡️
SILO 02

Security Testing

SAST, SCA, DAST, manual pentest, AI/LLM red team.

SASTDASTPentest
☁️
SILO 05

DevOps & Cloud

AWS, Azure, GCP, Terraform, K8s.

AWSCI/CDK8s
Reference builds

Reference builds — what we deliver,
end-to-end.

Four representative engagements. Same shape every time, whether the output is a software product, a security cycle, or an AI system.

ETL Pipeline

Extract, transform and unify your business data.

Pipeline Efficiency
68%94%
Improvement this month+26%
Insight

4 sources merged into one clean data warehouse.

AI Automation

Automate repetitive workflows connect business systems and accelerate decisions

Automation Coverage

78%
Running
Queued
Completed
Saved Time

Create an intelligent workflow that routes tasks, triggers actions, and reduces manual work.

✦ AI POWERED

Workflow Stages

1234
Ingest & Analyze
Route & Decide
Trigger Actions
Monitor & Optimize

Application Security Test Cycle

Scan → Pentest → Retest → Signed report.

Findings closed
0%100%
Retest complete42 closed
Insight

Full SAST / DAST / manual cycle with audit-partner sign-off.

SOC 2 Readiness Program

Gap analysis → Controls → Evidence → Audit handoff.

Controls in place
0%100%
Evidence collectedPartner ready
Insight

SOC 2 Type II readiness in 90 days — typical fintech engagement.

Who we help

From first product to first enterprise deal.

Startups, scale-ups, marketplace brands, AI-led companies, and enterprise engineering leaders — one studio across three cities.

01

Startups & Founders

MVPs and product-engineering-as-a-service; first hires later. Idea → shipped product in weeks, not quarters.

MVPSaaS
02

Scale-ups

Application security, SOC 2 for the first enterprise buyer, DevOps hardening. The full readiness cycle with a named audit partner attached.

SOC 2Security
04

AI-led companies

RAG, agents, evaluation harnesses, and LLM red-teaming. From prototype to a system your users trust in production.

RAGAgents
05

Enterprise engineering leaders

Outsourced security testing, staff-augmented engineering, and AI training programs for internal teams. Extend your bench with a team that ships.

Staff augTraining
0%
Our stack

What we actually run in production.

Application, security, data, and cloud — one line per layer. Nothing exotic, just what holds up under load.

01

Sources

Google Ads API · Meta Marketing API · Amazon Ads API · TikTok Ads API · Shopify / Stripe

02

Orchestration

Airflow · Dagster · Airbyte · Fivetran

03

Warehouse

Snowflake · BigQuery · Redshift

04

Transformation

dbt · SQL · Python / Pandas

05

AI / ML

LLM APIs · LangChain · RAG pipelines · scikit-learn

06

BI & Reporting

Looker · Power BI · Tableau · Metabase

07

Application

Laravel · Python · Node · Next.js · React · React Native · Flutter

08

Security testing

Burp Suite Pro · OWASP ZAP · Semgrep · Trivy · Nuclei · Manual pentest playbooks

09

Cloud & DevOps

AWS · Azure · GCP · Terraform · Kubernetes · GitHub Actions · CircleCI

Third-party partners

Because a services firm should not audit itself

We handle the readiness work — gap analysis, controls, evidence collection, and remediation. When it is time for the attestation itself, we hand over to a named partner firm. That separation is why enterprise buyers take the resulting report at face value.

A

Accorp Partners

SOC 2 · ISO 27001 attestation

I

Independent pentest firms

Signed security test reports

R

Regional audit partners

EU · US · MENA coverage

Learn about our compliance partners →

Training & enablement

Train your team to use AI where it counts

Three formats — executive, engineering, and custom — measured by what your team ships afterward, not what they read.

01

Executive AI literacy

Leadership teams, boards

Half-day workshop · non-technical · outcomes-first · on-site in Lahore, Dubai, or Toronto, or remote.

View program →
02

Engineering AI workflows

Software engineering teams

Two-week bootcamp · Copilot, Cursor, agents, RAG · shipped project by end of week two.

View program →
03

Custom internal enablement

Any team, any level

Built around your stack and your data. Curriculum, hands-on labs, and a measurable competency bar.

View program →
Questions we get

Straight answers, before the call.

The five questions agency engineering and ops leads ask us most often.

Amazon changes report schemas, throttles endpoints, and deprecates fields without much notice. We build resilient ETL pipelines with schema drift detection, automatic retries, and versioned staging tables so a breaking change becomes a monitored alert, not a silent gap in your dashboards.

We ingest each platform via its API (not CSV exports), normalize currencies and date formats in dbt, and land everything in a single warehouse layer. One ROAS definition, one spend model, one place your team and your AI agents query.

Yes, with guardrails. Our agents read from a modeled warehouse, propose actions within rules you define (max bid change, budget caps, approval queues), and log every change. Nothing runs autonomously until you sign off on the policy layer.

Dashboards show what happened. A warehouse lets you join ad spend with inventory, CRM, and finance data, and gives AI agents a single source of truth to act on. Without it, every "smart" automation is guessing from incomplete numbers.

A focused single-source pipeline (e.g. Amazon Ads → Snowflake) usually ships in 4–6 weeks. Multi-platform unification with automation layers typically runs 8–14 weeks depending on source count, historical backfill depth, and BI requirements.

LIVE

Since 2013

3 cities

About

An engineering firm since 2013.

TechEsthete is an engineering firm. Since 2013 we have built and shipped software, run security tests that hold up, and trained teams to work alongside modern AI. We work from Lahore, Dubai, Bangalore, and Toronto — one team, three time zones. Our work spans startups shipping their first product, scale-ups preparing for their first enterprise buyer, and enterprise engineering leaders extending their team.

Our timeline

  • 2013 — Founded in Lahore
  • First retainer client
  • Mobile practice launched
  • Security practice launched
  • UAE office opened (Techesthete FZE, Sharjah)
  • AI training practice launched
  • Surrey office opened (Canada)

Where we work

Lahore (HQ)333, Block J1 Johar Town, Lahore 54000, Pakistan

UAE (Sharjah)Business Centre, Sharjah Publishing City Free Zone, Sharjah, UAE

BangaloreCommercial Street and Infantry Road, Bengaluru 560001 India

Surrey (BC)13387 Old Yale Rd, Surrey BC V3T 0V6, Canada

Reliability

Systems you can trust: every pipeline and prediction is validated, tested, and dependable.

Innovation

We experiment and prototype. It's how we stay ahead in a world run on intelligence and automation.

Clarity

We simplify complexity, from data architecture to design, so intelligence stays intuitive for your team.

Scalability

Every workflow and line of code is built to grow seamlessly as your business expands.

Security

We ship code we are willing to have tested by anyone.

What clients say

Trusted by teams
who live in the data.