Available for New Projects




We don't advise, We deploy.
We don't advise, We deploy.
AI Transformation

Delivered

from
Inside

your team
Retail RAG Corpus
Fintech Agents
Insurance Automation
Retail RAG Corpus
Fintech Agents
Insurance Automation
Newsroom Copilot
Energy Forecast Agent
Adtech Open Weight
Newsroom Copilot
Energy Forecast Agent
Mediology embeds engineering pods inside your organization and takes AI systems to production in your stack, on your data, under your constraints. Seventeen years building our own platforms, the last three rebuilding them around AI. Customers from Google to the Government of India. Now we build for you.
Mediology embeds engineering pods inside your organization and takes AI systems to production in your stack, on your data, under your constraints. Seventeen years building our own platforms, the last three rebuilding them around AI. Customers from Google to the Government of India. Now we build for you.
The Moment
The Moment
Enterprise AI has moved past the pilot.
It now needs people who ship.
Enterprise AI has moved past the pilot.
It now needs people who ship.
Every hyperscaler and frontier lab stood up a forward-deployed engineering motion this year because advisory decks stopped converting into working systems. The constraint is no longer model access. It's engineers who can sit inside a business and get AI into production. They are scarce, and they are expensive. That's the gap we close.
Every hyperscaler and frontier lab stood up a forward-deployed engineering motion this year because advisory decks stopped converting into working systems. The constraint is no longer model access. It's engineers who can sit inside a business and get AI into production. They are scarce, and they are expensive. That's the gap we close.
70%
of companies were planning FDE hires by Q2 2026, up from under 10% at the start of the year
2,100%
projected growth in FDE demand by end of 2026, against a severely constrained talent pool
$1B
AWS's investment in embedding engineers with customers — the model every major lab now runs
Sources: Techcrunch, Jul 2026 · AWS partner network, 2026
Delivered

Led the GNI Indian Languages Program — embedded delivery across 300+ regional publishers in nine languages, moving each onto modern publishing infrastructure. Forward deployed engineering at ecosystem scale.
Publishing
Google News Initiative


Led the GNI Indian Languages Program — embedded delivery across 300+ regional publishers in nine languages, moving each onto modern publishing infrastructure. Forward deployed engineering at ecosystem scale.
Publishing
Google News Initiative


Led the GNI Indian Languages Program — embedded delivery across 300+ regional publishers in nine languages, moving each onto modern publishing infrastructure. Forward deployed engineering at ecosystem scale.
Publishing
Google News Initiative


Embedded engineering for the digital experience behind Dubai's gold retail ecosystem — built and delivered with our Dubai team, working directly with the client's organization. Global method, Gulf delivery.
UAE
Dubai City of Gold


Embedded engineering for the digital experience behind Dubai's gold retail ecosystem — built and delivered with our Dubai team, working directly with the client's organization. Global method, Gulf delivery.
UAE
Dubai City of Gold


Embedded engineering for the digital experience behind Dubai's gold retail ecosystem — built and delivered with our Dubai team, working directly with the client's organization. Global method, Gulf delivery.
UAE
Dubai City of Gold


We partnered with Asharq Bloomberg to rethink how audiences discover and consume news across its digital experience. Using our SORTD Engage design framework, we introduced engagement-focused UX patterns, improved content hierarchy and created a scalable experience system designed for a high-volume, multi-format newsroom.
Replatforming
Asharq Bloomberg


We partnered with Asharq Bloomberg to rethink how audiences discover and consume news across its digital experience. Using our SORTD Engage design framework, we introduced engagement-focused UX patterns, improved content hierarchy and created a scalable experience system designed for a high-volume, multi-format newsroom.
Replatforming
Asharq Bloomberg


Developed The Gameium’s digital gaming platform and interactive games, combining scalable technology with engaging gameplay experiences built for performance across devices.
Interactive Gaming
The Gameium


Bringing Suzlon’s renewable energy portfolio to life through a modern website and interactive calculators that translate turbine performance into meaningful energy insights.
Clean Energy Platform
Suzlon


Health and fitness applications designed for Lava smartwatches, turning everyday activity and wellness data into simple, intuitive experiences on the wrist.
Wearable Health Tech
Lava Werables


We reimagined Khaleej Times across web and mobile, redesigning the website and building native iOS and Android applications as one connected digital news ecosystem. From information architecture and content discovery to mobile-first interaction patterns, the experience was designed to make news faster to access, easier to consume and consistent across every screen.
Apps
Khaleej Times


We reimagined Khaleej Times across web and mobile, redesigning the website and building native iOS and Android applications as one connected digital news ecosystem. From information architecture and content discovery to mobile-first interaction patterns, the experience was designed to make news faster to access, easier to consume and consistent across every screen.
Apps
Khaleej Times


We reimagined Khaleej Times across web and mobile, redesigning the website and building native iOS and Android applications as one connected digital news ecosystem. From information architecture and content discovery to mobile-first interaction patterns, the experience was designed to make news faster to access, easier to consume and consistent across every screen.
Apps
Khaleej Times

THE METHOD
Embed. Ship. Compound.
One method for every engagement: a small pod — two to four engineers and a lead — inside your team, accountable for something specific reaching production. Answerable for what ships, not for hours logged.
Embed

The pod joins your team, in your stack and your data. We map workflows, platform options, constraints and scope the first production candidate. You get a build plan, not a strategy deck.
Timeline
Weeks 0 – 4
Embed

The pod joins your team, in your stack and your data. We map workflows, platform options, constraints and scope the first production candidate. You get a build plan, not a strategy deck.
Timeline
Weeks 0 – 4
Embed

The pod joins your team, in your stack and your data. We map workflows, platform options, constraints and scope the first production candidate. You get a build plan, not a strategy deck.
Timeline
Weeks 0 – 4
Ship

One high-value workflow goes to production: agentic pipelines, retrieval over proprietary data, automated processes, AI product features. Milestone-gated, with evals and governance built in from day one.
Timeline
Weeks 4 – 16
Ship

One high-value workflow goes to production: agentic pipelines, retrieval over proprietary data, automated processes, AI product features. Milestone-gated, with evals and governance built in from day one.
Timeline
Weeks 4 – 16
Ship

One high-value workflow goes to production: agentic pipelines, retrieval over proprietary data, automated processes, AI product features. Milestone-gated, with evals and governance built in from day one.
Timeline
Weeks 4 – 16
Compound

A standing pod keeps shipping as your AI surface grows. Our accelerators evals, deployment harnesses, connector patterns make each build faster than the last. Your team levels up alongside ours.
Timeline
Quarter on quarter
Compound

A standing pod keeps shipping as your AI surface grows. Our accelerators evals, deployment harnesses, connector patterns make each build faster than the last. Your team levels up alongside ours.
Timeline
Quarter on quarter
Compound

A standing pod keeps shipping as your AI surface grows. Our accelerators evals, deployment harnesses, connector patterns make each build faster than the last. Your team levels up alongside ours.
Timeline
Quarter on quarter
WHY US
We run our own AI products at scale.
That's the difference.
Since 2009 we've built and operated platforms with real users, real traffic surges, and real revenue riding on them.
The engineers who ship these are the engineers who arrive at your engagement.
WHY US
We run our own AI products at scale.
That's the difference.
Since 2009 we've built and operated platforms with real users, real traffic surges, and real revenue riding on them.
The engineers who ship these are the engineers who arrive at your engagement.
WHY US
We run our own AI products at scale.
That's the difference.
Since 2009 we've built and operated platforms with real users, real traffic surges, and real revenue riding on them.
The engineers who ship these are the engineers who arrive at your engagement.
HOW WE CHARGE
Four ways in.
One standard : Production

01 · Entry — Embed
Priced on the pod and the outcome, never the hour
Two to four weeks inside your organization. We map workflows, data, and platform options — and leave behind a build plan with the first production candidate scoped. Fee credited against a build that follows.

02 · Core — Ship
Agentic Systems Build
An embedded pod takes one high-value workflow to production: agentic pipelines, retrieval over proprietary data, automation of manual processes, AI product features. Milestone-gated, 8–16 weeks.

03 · Advisory — Embed
Platform & Model Strategy
Frontier vs open-weight, buy vs build, cost and latency engineering, evals and governance. Recommendations from production experience on both sides — not from a reseller margin.

04 · Continuous — Compound
Embedded Pod, Ongoing
A standing pod that keeps shipping quarter after quarter as your AI surface grows. Every engagement transfers capability, not dependency.
HOW WE CHARGE
Four ways in.
One standard : Production

01 · Entry — Embed
Priced on the pod and the outcome, never the hour
Two to four weeks inside your organization. We map workflows, data, and platform options — and leave behind a build plan with the first production candidate scoped. Fee credited against a build that follows.

02 · Core — Ship
Agentic Systems Build
An embedded pod takes one high-value workflow to production: agentic pipelines, retrieval over proprietary data, automation of manual processes, AI product features. Milestone-gated, 8–16 weeks.

03 · Advisory — Embed
Platform & Model Strategy
Frontier vs open-weight, buy vs build, cost and latency engineering, evals and governance. Recommendations from production experience on both sides — not from a reseller margin.

04 · Continuous — Compound
Embedded Pod, Ongoing
A standing pod that keeps shipping quarter after quarter as your AI surface grows. Every engagement transfers capability, not dependency.
HOW WE CHARGE
Four ways in.
One standard : Production

01 · Entry — Embed
Priced on the pod and the outcome, never the hour
Two to four weeks inside your organization. We map workflows, data, and platform options — and leave behind a build plan with the first production candidate scoped. Fee credited against a build that follows.

02 · Core — Ship
Agentic Systems Build
An embedded pod takes one high-value workflow to production: agentic pipelines, retrieval over proprietary data, automation of manual processes, AI product features. Milestone-gated, 8–16 weeks.

03 · Advisory — Embed
Platform & Model Strategy
Frontier vs open-weight, buy vs build, cost and latency engineering, evals and governance. Recommendations from production experience on both sides — not from a reseller margin.

04 · Continuous — Compound
Embedded Pod, Ongoing
A standing pod that keeps shipping quarter after quarter as your AI surface grows. Every engagement transfers capability, not dependency.
Let's Connect
Let's Connect
The first conversation is a working session, not a pitch.
Bring one workflow you believe AI should have transformed by now.
We'll tell you what it takes to ship it and if we're not the right team for it, we'll say that too.













