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Project
Status
AI Builder
Lead qualification
Ready
AI LLM Developer
CRM as an agent
Ready
AI Engineer
Knowledge assistant
In production
AI Solutions Architect
Documents to data
To be defined
Data Engineer
01# rag/retriever.py · knowledge-assistant
02--- a/search.py
03+++ b/rag/retriever.py
04- def search(q): return drive.find(q)
05
06class KnowledgeRetriever:
07 SOURCES = [
08 Confluence(space="OPS"),
09 Drive(folder="legal/contracts"),
10 Jira(project="ARCH"),
11 ]
12
13 def retrieve(self, q, k=8):
14 vec = embed(q, model="text-3-large")
15 hits = self.index.knn(vec, k=k*4)
16 hits = acl_filter(hits, user=ctx.user)
17 return rerank(q, hits)[:k]
18
19# eval · 420 reference questions
20# groundedness 0.96 · recall@8 0.91
21# p95 1.4 s · cost €0.003/query

Take your initiatives
to production

AI, data architecture, technology modernisation, new products and whatever technical challenge lies ahead.

AI applied to business

Develop AI initiatives across different areas

Most AI pilots never reach production. An AI Builder prioritises the use cases with real returns and takes them all the way to production, with the architecture and processes to scale them afterwards.

Explore AI use cases

Data architecture

From scattered data to a foundation to build on

You have the data, but it cannot be used. An AI Builder designs the target architecture and builds the pipelines and data governance that support whatever comes next: automations, product or AI.

Digital transformation and migrations

Modernise your stack without stopping the business

Legacy is slowing the roadmap and stopping it is not an option. A squad of AI Builders runs the migration in phases, with operations running throughout.

MVP

From a business opportunity to a product in production

A validated idea and no team to build it. A squad of AI Builders shapes it, builds it and puts it in the hands of real users, without setting up permanent structure.

Technical audits and diagnostics

Before you build, understand what needs to change

Some decisions are too big to make blind. An AI Builder audits your stack, your product or your actual use of AI and returns it as a prioritised plan, with the risk and cost of each option.

Post-acquisition integration

Integrate two stacks without slowing either operation

Two architectures, two ways of working, one business. The AI Builders map the dependencies, define the integration strategy and run it in phases until the systems are consolidated.

Build your way

Activate each project or initiative when you need it and how you need it

  • Extend the team
  • Accelerated growth
  • Temporary cover
  • Grow with flexibility
  • Open new markets
  • Fill an open role
  • Restructure the team

When to work with Shakers

From a workload peak to a talent search that drags on. Discover five moments when working with AI Builders can make the difference.

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  • Work with a squad
  • Try and hire
  • Specialist expertise
  • Fractional leadership
  • An alternative to offshore

Collaboration models

From a one-off specialist to a full squad or fractional leadership. You decide what you need and for how long.

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You don’t need to fit your project into a category

Tell us what you want to build, transform or get moving and we activate the AI Builders you need to make it happen.