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Trusted by media teams at

A forward-deployed engineer,

as software.

Describe the workflow — we build the agent and ship it live. From the studio behind AI systems at Tripadvisor and Amazon Ads. No technical team required.

mediamind.biscotte.ai

MEDIA MIND

What should we build today?

Grounded in your Mind

Guardrails on

Answer Friday's RFP

Fix Q3 campaign pacing

Run an AEO audit

12 agents live

·

8 systems synced

·

unlimited usage

Our Work · Before & After

The same job, before and after.

Two production systems we built for media companies — and what the work looked like before Media Mind ran it.

RAG pipelines over private knowledge — policy docs, product catalogues, support history.

In-product copilots and agentic UI inside web apps customers already use.

Open-weight, region-locked deployments where data residency is non-negotiable.

Reasoning-heavy agents — long-context drafting, multi-step workflow tasks

Multimodal experiences — image, audio and video understanding in production.

Generalist front-line agents and creative generation when latency wins.

Vector backbone for memory, search and retrieval across our agent stacks.

Orchestration for multi-agent systems with explicit state and human handoff.

Streaming generative UIs — token-by-token interfaces shipped to real customers.

Scalable cloud and AI services for modern applications and workflows.

AI-native cloud platform for building, deploying, and scaling intelligent applications and agents.

Framework for adding conversational AI and agents to modern web apps.

Select customers. Our partners.

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WHAT WE DO

Three offerings.

Built to ship.

You bring a problem. We bring senior engineers, an army of AI agents, and a two-week clock. Working software lands every sprint.

01

Generative AI deployments

Customer-facing AI products — chat, voice, content engines — designed and built end-to-end. We treat AI as a creative partner, then ship the product.

02

Agentic AI

Multi-agent systems that do real work — routing, drafting, deciding, escalating. Auditable end-to-end, with a human in the loop wherever it matters.

03

ML Engineering

Custom models, training pipelines, evals and observability. Built and tuned in-house when off-the-shelf won’t cut it — open-weight, sovereign-ready.

CASE STUDIES

Shipped, in production,

measured.

A real-time view of the work — what we're building right now and what's already live. Every number below is measured at the client's books, not modelled in a deck.

$47.6M

Revenue Impact ∙ 24 Months

62

Production Deployments

24

Now in-flight

9

Models Across stack

Recent projects

3 ACTIVE BUILDS

Concierge - Europe Launch

Vercel

Pinecone

Google Cloud

Launhed +12 markets

Alexa CMS - Global

AWS

LangGraph

Alexa

Launched +200 Experiences

AEO Automation - Global

PEEC

Mastra

Claude

Launched +10 Automations

FAQ

Common questions.

Most of these come up on the first call. The rest are happily answered there.

How do engagements start?

Do you work with our existing stack?

Can you deploy on-prem or in our VPC?

What does pricing look like?

Who owns the IP?

How fast can you start?

LET'S TALK

Got an AI problem

worth shipping?

A 30-MIN SCOPING CALL · NO DECKS

Ready to build something twice as smart?

Let's collaborate on your next AI project.

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