🤖
PILLAR 01
AI Systems & Intelligent Automations
Agentic workflows that execute, monitor, and optimize autonomously.
LLM AgentsRAGAutomation
For performance marketing & ad-tech agencies🔗Connect
Data engineering& intelligencefor data-driven growth.Data engineering & intelligencefor data-driven growth.
From agentic AI to unified data systems, we build the infrastructure that powers smarter decisions: ETL pipelines, ad-platform integrations, and AI agents that watch the numbers so you don't have to.
120+
Tinuiti automationsautomations deployed for Tinuiti across five marketplaces
3,500+
unified data backbonebrands on one unified data backbone
20%
ops efficiency gainaverage ops efficiency gain after data unification
⚡Collab
#ETLPipelines#AdPlatforms#DataWarehouse#AIAgents#RealTimeBI
Our valued clients
The engine
A live ETL pipeline you can scrub.
Four ad platforms. One messy schema. Watch raw exports get cleaned, modeled, and turned into autonomous bid and budget actions.Four ad platforms. One messy schema. Scroll to watch raw exports collide, get cleaned and modeled into a warehouse, analyzed by an AI agent then watch it autonomously cut bids, shift budgets, and close the loop.
01 · INGEST
Four sources, one pipe
Scheduled API jobs pull from Google, Meta, Amazon, and TikTok no manual CSV exports, no stale snapshots.
02 · CHAOS
Unstructured & incompatible
Every platform speaks a different language mismatched columns, nulls, mixed currencies, four date formats in one table.
Google export
Day, Campaign, Cost03/14/26, Brand, $1,204ROAS: —Meta export
date_start, spend2026-3-14, 980.5clicks: nullAmazon export
Date, Spend(GBP)14-03, £740ACOS: 2,1TikTok export
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
Voicing AI
An AI that joins your meeting and speaks from the report.
Upload a PDF. It reads every page, joins Google Meet, Zoom, or Teams, explains the numbers in a natural voice, takes notes, suggests actions, gets your approval, and executes when you're ready.
01 · UPLOAD
Drop the report
Monthly performance PDF, board deck, or campaign summary Voicing AI ingests the full document before the call starts.
PDF
Q1_Performance_Report.pdf42 pages · 3.8 MB1Executive summary · spend overview
8Channel breakdown · Google, Meta, Amazon
22ROAS trends · anomaly flags
38Recommended actions · budget shifts
02 · PARSE
Full report context
Every chart, table, and footnote becomes structured memory so answers in the meeting are grounded in your actual data, not generic talking points.
Total ad spend $284,120 across four platforms. Meta ROAS dropped 8% week-over-week while Amazon ACOS exceeded target on 3 ASINs.
spend: $284kspend: $284kmeta_roas: −8%roas: −8%amazon_acos: 3 ASINs3 ASINsrec: shift $12k budget+$12k shiftrec: pause broad keywordspause broad
03 · JOIN
Walks into the call
One click and Voicing AI joins Google Meet, Zoom, or Microsoft Teams camera off, mic on, fully briefed on the report.
Google Meetmeet.google.com
Zoomzoom.us
MS Teamsteams.microsoft.com
✓ joined · Weekly Performance Review · 6 participants
04 · SPEAK
Explains like a human
Natural voice, conversational pacing walks stakeholders through the report, answers follow-ups, and cites the exact page when someone asks "where did that number come from?"
LIVE · Weekly Performance Review
VOICING AI"Total spend came in at $284k up 6% from last month. The headline is Meta: ROAS dropped 8% on broad audiences. I'd recommend shifting $12k to retargeting where ROAS is still 3.8×."
VOICING AI"Happy to dive into Amazon ACOS on those three ASINs that's on page 22 of the report if anyone wants to follow along."
05 · NOTES
Captures & suggests
Real-time meeting notes, action items extracted from the conversation, and smart suggestions each one waiting for your approval before anything runs.
LIVE NOTES
CFO asked about Meta ROAS decline
Agreed to review Amazon ASINs offline
Budget shift $12k → retargeting approved verbally
SUGGESTED ACTIONS
↓ Reduce Meta broad bids 15%Approve
↑ Shift $12k/day to retargetingApprove
📋 Schedule Amazon ACOS reviewApprove
06 · EXECUTE
Approved actions, executed later
Nothing runs without sign-off. Once you approve, Voicing AI queues the changes and executes them after the call bids adjusted, budgets moved, follow-ups scheduled.
APPROVEDDONE
↓ Meta broad bids −15%
queued · runs in 5 min
APPROVED↓ Meta broad bids −15%DONEqueued · runs in 5 min
APPROVEDDONE
↑ Retargeting budget +$12k/day
queued · runs in 5 min
APPROVED↑ Retargeting budget +$12k/dayDONEqueued · runs in 5 min
APPROVEDDONE
📅 Amazon ACOS review scheduled
Thu 2pm · invite sent
APPROVED📅 Amazon ACOS review scheduledDONEThu 2pm · invite sent
↻ 3 actions executed · meeting summary emailed to attendees
What we build
Five pillars. One data layer.
Five engineering pillars we work in built so adding a new platform, agent, or data source never means rebuilding the pipeline from scratch.Scroll to explore each engineering pillar we work in built so adding a new platform, agent, or data source never means rebuilding the pipeline from scratch.
📦
PILLAR 02
Amazon Data, Automation & Performance Engineering
Ads, automation, and campaign systems built for marketplace scale.
Amazon AdsACOSFBA
📊
PILLAR 03
Data Engineering & Business Intelligence
Reliable pipelines and real-time dashboards your decisions deserve.
dbtSnowflakeLooker
☁️
PILLAR 04
DevOps & Cloud Infrastructure
Deploy faster, scale smoother, operate securely.
AWSCI/CDK8s
⚡
PILLAR 05
Custom Software & Product Development
Intelligent digital products designed for automation and scale.
MVPSaaSScale
How it's builtFour systems,
Four systems,
one data layer.
The core building blocks behind every project from a single integration to a full data platform, engineered to connect without rebuilding from scratch.
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.
Ad Platform Integration
Connect, sync and optimize your advertising data.
↗Campaign Sync Score
58%→87%
Improvement this month+29%
Insight
4 ad channels unified into one connected reporting view.
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
Data Warehousing & BI
Unify sources, power dashboards, and help teams make faster decisions.
Reporting Readiness
84%
Connected Sources
Dashboards
Reports
Insights
Database
CRM
Sales
Marketing
Create a centralized data warehouse that unifies sources, powers dashboards, and helps teams make faster decisions.
✦ BI READYWarehouse Stages
1234
◼Ingest & Clean
◼Model & Store
◼Analyze & Visualize
◼Monitor & Optimize
Who we help
Built for teams drowning in ad data.
From performance agencies to AI-led startups we meet you where your data stack is broken.
Performance Marketing Agencies
Automate reporting, optimize campaigns, and turn scattered ad data into actionable intelligence across Amazon, TikTok, Walmart & multi-marketplace.
ReportingMulti-platform
Marketplace Brands
Unify sales, inventory, and marketing systems to drive efficiency and predictable growth.
AmazonInventory
SaaS & AdTech Teams
Build reliable data pipelines and analytics layers that scale with your product.
PipelinesAnalytics
AI-Led Companies
Integrate AI agents, RAG systems, and knowledge hubs into everyday operations.
RAGAgents
Founders
Turn concepts into scalable digital products with automation-first architecture.
MVPScale
0%
Spec sheet
The stack.
The tools running under the hood of every pipeline, integration, and agent we ship nothing exotic, just what actually holds up in production.
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
Featured case studies
View all case studiesReal work. Real results.
Case studies in Amazon ad automation, data pipelines, and AI agents.
View all case studies
0%
LIVE
ETL Pipeline
42 jobs today
Weekly automations run
Ad platformsData jobs
About
The architects of intelligent systems.
We're an AI and data engineering studio that builds the systems powering high-performance brands, agencies, and products. From data pipelines to agentic AI, our work turns complexity into clarity and intelligence into impact.
We believe intelligence isn't just built it's engineered. Every system we ship is designed to eliminate manual busywork so your team can focus on the decisions that actually need a human.
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.
What clients sayTrusted by teams
Trusted by teams
who live in the data.
"They brought clarity to our ad data chaos and built a pipeline that finally scales with us across every marketplace."
VP of OperationsAmazon marketplace brand
