01
AI strategy
& readiness
Work with users to understand the actual workflow, identify a useful AI opportunity and define success criteria before building.
USE CASES · PRIORITIES · ROADMAPSYOUR CONTEXT. OUR ENGINEERING. SHARED OWNERSHIP.
AI that works
in your world.
Forward deployed engineering for AI models and software. We work alongside your team to understand the workflow, build the right system and carry it through to production.
EMBEDDED ENGINEERING · AI MODELS · PRODUCTION DELIVERY
THE FDE DELIVERY LOOP
01
START WITH PURPOSEYour workflow
02
EVALUATE THE OPTIONSAI models
03
DESIGN THE CONNECTIONSWorking software
04
MAKE IT ACTIONABLEProduction & handover
Close to your users. Accountable for the implementation.
FROM BUSINESS CONTEXT TO WORKING SYSTEMS.SCROLL TO EXPLORE
◇ Understand the workflow.⌘ Build with your team.↗ Deliver and transfer ownership.
01 / OUR EXPERTISE
Business context.
Engineering depth.
FDE means Forward Deployed Engineering: engineers work directly with your users and team, combining technical advice with hands-on delivery in your operating environment.
AI strategy
02
Model selection
& evaluation
Compare model options against your own tasks. Examine quality, latency, cost and deployment constraints with a clear evaluation plan.
BENCHMARKS · TRADE-OFFS · MODEL FIT03
Software
architecture
Design and build the connections between models, data and your existing software: APIs, retrieval, workflow tools and observability.
SYSTEM DESIGN · APIS · INTEGRATION04
Embedded AI
engineering
Work alongside your team to prototype, test and deploy an agreed AI workflow, then document the system and transfer ownership.
PROTOTYPING · DEPLOYMENT · HANDOVER02 / FIND YOUR STARTING POINT
A good question.
A useful next move.
Start with your current stage. These illustrative engagements connect business discovery with practical engineering work.
ILLUSTRATIVE ENGAGEMENTFind the opportunity
Choose for your task.
Connect the prototype
Find the opportunity
worth pursuing.
Start with your workflows and objectives. Map potential use cases, identify constraints and decide what deserves a focused experiment.
A POSSIBLE OUTPUT
A prioritised opportunity map and a practical pilot brief.
Choose for your task.
Understand the trade-offs.
Define representative test cases and success criteria. Compare suitable models using the requirements of your product, users and operating environment.
A POSSIBLE OUTPUT
A model comparison, evaluation rubric and documented recommendation.
Connect the prototype
to a workable system.
Build a focused workflow into your existing systems. Test it against real operating constraints and plan the controls, monitoring and handover needed for production.
A POSSIBLE OUTPUT
An integrated pilot, an evaluation report and a documented production plan.
03 / HOW WE WORK
Embed. Build.
Make it work.
One delivery loop, shared with your team. Each engagement agrees its scope, system access, acceptance criteria and ownership before implementation.
Get close to the workflow.
Work with stakeholders and users to understand the process, data and constraints. Agree on a concrete use case, a baseline and a measurable definition of success.
Ship a focused system.
Evaluate suitable models, build the integrations and iterate with your users. Test quality, cost, latency and failure cases against the agreed criteria.
Make the handover count.
Deploy the agreed solution with monitoring and operating guidance. Transfer code, documentation and knowledge so your team can run and extend it.
04 / WAYS TO ENGAGE
Start with a question.
Shape the engagement.
Scope, deliverables, timing and fees are agreed in a written proposal after an initial conversation.
Workflow discovery
Map the workflow, assess feasibility and agree on a focused pilot with clear acceptance criteria.
FDE pilot
A scoped engineering engagement to evaluate models, build an integrated workflow and validate it with users.
Embedded delivery partnership
Work together across implementation, production iteration and capability transfer, with responsibilities agreed in writing.
05 / A LITTLE CLARITY
Before we
begin.
Who is this for?
Founders, product teams and organisations making decisions about AI adoption, model capabilities or the software systems around them. You can start with an early idea or an existing product.
Can you work alongside our existing team?
Yes. The FDE model is collaborative: we work directly with your product, engineering and operational teams. Responsibilities, approved system access and delivery ownership are agreed before work starts.
How is FDE different from advisory?
FDE combines advice with hands-on engineering. A scoped engagement can include code, integrations, model evaluations, deployment and handover. Advisory-only work is also available; deliverables are agreed in the proposal.
How do we get started?
Create a short project brief below, then email it to hello@mythovra.com. Share your goals and current stage; detailed technical materials can follow once the engagement and confidentiality arrangements are agreed.
LET’S FIND THE WORKFLOW WORTH BUILDING
What are you
working towards?
A workflow to improve, a pilot to ship, or an AI system ready for production.
Let’s build the next step together.