How can fde.now help?

We provide architecture, hands-on implementation, model evaluation, and team enablement. We shape the engagement around your business needs, existing systems, and the capabilities you want to build.

How do you choose proposals?

We consider business value, team readiness, technical feasibility, and how well our expertise fits your needs. We use the proposal to understand the opportunity and discuss a suitable scope together.

What should we include in a proposal?

Introduce your company, the problem and intended users, your proposed system, and the people who would work with us. Include any relevant data or system constraints, the outcome you hope to achieve, and the support you are seeking. A concise outline is enough to begin.

How are scope and commercial terms agreed?

Each engagement is scoped individually. Before work begins, we agree deliverables, responsibilities, timeline, commercial terms, and intellectual property arrangements in writing.

Which models do you use?

Whichever your evaluation says is right. We architect model-agnostic — Anthropic and OpenAI today, with the provider behind an interface you can swap. We have no reseller agreements.

What happens after we submit?

We review the proposal and, where there appears to be a fit, invite a conversation to understand the opportunity and your team. Any decision to proceed follows mutual review and agreement. The scope and timeline are set for the selected partnership.

AI-Native Partnerships · Architecture · Engineering · AI Enablement

AI-native ideas. Engineered to work.

Bring us the AI-native system your business needs. We work with your team to understand the opportunity, design the architecture, and build a system that fits the way you work.

Propose your idea How partnerships work

Partnership briefv1.0

modelEmbedded engineering partnership

expertiseArchitecture + engineering

teamForward deployed, embedded

runs_inYour cloud · your repo

outputAI-native capability

termsAgreed scope of work

1idea

Start with a business problem and the AI-native system you want to build.

2disciplines

Architecture and hands-on engineering, shaped around your business needs.

1shared goal

Build a useful system and a team with the capability to take it forward.

Working with teams at

Our Conviction

We build with the team behind the idea.

A promising AI idea needs more than a prototype. It needs sound architecture and people who can turn it into everyday capability. Our experienced engineers work alongside your team to build useful systems and the skills to develop them further.

01 / AI ENABLEMENT

Build the capability, not the dependency.

We work with your engineers, analysts, and decision-makers so AI becomes something your organization does — not something it buys. Pairing, playbooks, evaluation discipline, and governance your leadership can sign off on.

AI readiness and opportunity assessment across your business
Hands-on pairing with your engineers on real production work
Evaluation, observability, and governance practices that outlast us
Leadership alignment on outcomes, resources, and adoption

02 / ENGINEERING ARCHITECTURE

Design the system, then ship it to production.

Target architecture decided against your real constraints — data residency, cloud, security review, existing tooling — then implemented by the same people who designed it. No handoff to an implementation partner.

Target-state architecture for AI over your warehouse and reporting
Data layer, retrieval, model interfaces, agent and approval flows
Model-agnostic by design — Anthropic and OpenAI, swappable
Merged into your main branch, running in your cloud account

How It Works

Propose. Align. Commit. Build.

Every engagement starts with a conversation about your idea. We review the opportunity, understand your team and constraints, and agree where our architecture and engineering expertise can help.

Step 01Propose

Share the opportunity

Tell us about your company, the problem you want to solve, and the AI-native system you have in mind. Explain who it serves, why it matters, and who will build with us.

A clear proposal

Step 02Review

Explore the fit

We look at the business value, technical feasibility, and your team's readiness to participate. Where there is a fit, we explore the opportunity and the resources it would take together.

Mutual alignment

Step 03Commit

Shape the partnership

Before work begins, we agree the scope, responsibilities, deliverables, timeline, and commercial terms so both teams know what to expect.

An agreed scope of work

Step 04Co-build

Build, learn, and grow

Our engineers work with your team to design, implement, and evaluate the system. Together, we decide when it is ready for a controlled rollout and where to take it next.

Capability that grows with you

Capabilities

The expertise behind your AI system.

From opportunity assessment to implementation, we bring hands-on architecture and engineering to help your team put AI to work.

EnablementS-01

AI Readiness and Enablement Program

Understand the data, people, and workflows behind your idea. Build an AI operating model with your leadership, and develop your team's skills through hands-on work together.

Readiness assessmentOperating modelPairing

ArchitectureS-02

AI Architecture over Business Intelligence

Target-state architecture that lets models read, reason over, and act on your warehouse — semantic models, governed access, retrieval, and model interfaces. Your warehouse stays the source of truth.

BigQueryPostgresSemantic layer

ArchitectureS-03

Conversational Analytics and Agentic Workflows

Natural-language access to your actual data with visible SQL, evaluated accuracy, and an audit trail — and agents that act on what the data says, with human approval where it matters.

Text-to-SQLTool useEvals

AdvisoryS-04

Architecture Advisory and Review

For teams building in-house: reference architecture, model and vendor selection, cost model, and a candid review of what you have already started.

Reference architectureCost modelReview

What You Receive

Production code in your repository. Capability in your team.

We build alongside your team, with working code and the knowledge to develop it further. This illustrative query interface shows the kind of governed, model-agnostic system we can build together.

Runs in your cloud account — AWS, Azure, or GCP. Data never leaves.
Evaluation suite committed alongside the feature, run in CI.
Architecture decision records your team can extend.
Code and knowledge shared under the agreed ownership terms.

services/analytics/ask.pyillustrative example

# governed query interface over the warehouse
from metrics import semantic_layer, guard
from llm import client   # anthropic | openai

def ask(question: str, user: User) -> Answer:
    scope = guard.scope_for(user)           # row-level policy
    sql   = client.to_sql(question, semantic_layer.schema(scope))
    guard.validate(sql, scope)              # read-only, bounded
    rows  = warehouse.run(sql, project="bq-prod")
    return Answer(rows=rows, sql=sql, trace_id=log(question, sql))

# evals/ask_test.py · agreed acceptance checks

Results

Success measures, agreed upfront.

We establish a baseline before the build and agree on what useful progress means for your workflow and team.

Efficiency

Time

Effort per completed workflow

Record the time and manual work involved today, then compare the agreed workflow after implementation.

Current processCompare effort

Quality

Accuracy and review effort

Evaluate representative cases against agreed acceptance criteria, including errors, exceptions, and the human review required.

Agreed test casesReview results

Adoption

Use

Consistent use by your team

Check whether the intended users can use, operate, and extend the workflow as part of their everyday work.

Intended usersTrack real use

Who We Are

Partners in the idea. Partners in the build.

We founded fde.now to help ambitious companies turn business knowledge into AI-native systems.

We work alongside your team to shape the opportunity, architect and build the system, and develop the capabilities to keep it growing.

What We Look For

A meaningful problem. A team ready to build.

We choose partnerships where business value, team commitment, and technical potential come together. These are the questions we explore when reviewing your proposal.

Business Value01

A problem worth solving

Why does it matter?

Show us a real need, the people affected, and why an AI-native approach could change the outcome.

A clearly defined user or customer
A workflow with meaningful impact
A useful way to measure progress

Team Commitment02

People ready to build

What will you bring?

We look for teams willing to make decisions, share domain knowledge, and work with our engineers. A partnership needs commitment on both sides.

An accountable decision-maker
People and time for collaboration
A plan for adoption inside the business

Technical Potential03

A foundation for growth

Can it become real?

We explore whether the data, systems, and operational conditions can support a useful product, and whether the capability can grow beyond the first implementation.

Relevant data and access pathways
Feasible security and integration requirements
A path to lasting AI capability

Stack

We architect on what you already run.

Google CloudCLOUD

awsAWSCLOUD

azAzureCLOUD

KubernetesINFRA

BigQueryDATA

PostgresDATA

dbtdbtDATA

AirflowDATA

AnthropicMODELS

oaiOpenAIMODELS

PythonLANG

TypeScriptLANG

No platform to buy, no runtime to license. If your warehouse or cloud is not listed, ask — the architecture is the same, the connectors change.

FAQ

Before you propose.

Questions about your idea or the fit? Include them in your proposal.

Companies with a real business problem, an idea for an AI-native system, and a team ready to participate. You do not need to be an AI startup or have a finished prototype. Tell us what you know, what you want to change, and where you need support.

Propose a Partnership

What would you build with the right engineering partner?

Tell us about your company, your idea, and the change you want to make. Together, we can explore the architecture and engineering support your project needs.

Propose your idea hello@fde.now

A proposal starts a conversation. Scope, deliverables, and commercial terms are agreed before work begins.