/enterprise

custom builds

we build a digital twin for what your team actually does. the agent runs underneath; the artifact is yours.

the problem

expertise doesn't scale. it disappears when people leave. it varies across teams.

knowledge loss

when senior people leave, years of institutional knowledge go with them. new hires spend months relearning what was already known.

scaling bottleneck

growth depends on a handful of key people. senior staff spend all their time reviewing instead of doing. you can't scale without diluting quality.

inconsistent quality

quality depends on who's assigned. decisions vary by individual. there's no shared memory of what actually works.

the solution

craft a digital twin that embodies your company's expertise, methodology, and standards. it runs as an agent under your governance.

how it works

1

capture expertise

the system captures decisions, documents, and conversations as your experts work. builds a 3-layer memory automatically.

2

train your digital twin

your digital twin learns from the captured expertise. it adopts your taste, judgment, and methodology. then executes (as an agent) with senior-level quality.

3

scale execution

junior staff execute with senior taste. higher throughput without quality loss. expertise survives turnover.

what you get

  • junior productivity: weeks instead of months to senior-level output
  • institutional memory: expertise survives employee turnover
  • consistent quality: every project executes with senior taste
  • governance & audit: permissions, policies, audit logs, compliance-ready
  • you own it: your digital twin, its memory, its outputs. not rented, owned.

case study: evmg

a digital twin for every plant.

01. engineering

plant-scale digital twin

end-to-end physics of collector, storage, orc, and heat-transfer loop. site-configurable under real weather. decision agents return site viability and the cost-optimal configuration that meets spec.

02. operations

project-aware agents

agents extend the simulation itself: scaffolding, tests, ci/cd, automated review. a research agent ingests academic, supplier, and competitor work. document generation produces investor, client, and policy outputs from the same source.

03. communications

brand, web, and documents

website with ai-generated frontend and embedded explainer agents. brand identity, narrative, and visual system. animated brand video. audience-tailored decks generated on demand.

baikery is evmg's exclusive technology partner. doobls powers engineering, operations, and communications from a single project-aware knowledge base.

enterprise features

built for regulated industries and large organizations

rollout

3 to 6 months from kick-off to a fully embedded digital twin

a dedicated team works alongside yours

every enterprise rollout is led by a small team of doobls experts (solution architect, agent engineer, and customer lead) paired with your subject-matter people. typical engagement runs 3 to 6 months from contract to production.

1

5 min intro call → discovery & scoping (weeks 1 to 2)

quick fit check on cal, then workshops with your team to map use cases, integrations, and success metrics

2

setup & expertise capture (weeks 2 to 8)

workspace and access provisioning, integrations, capturing decisions and documents into 3-layer memory

3

training & enablement (weeks 6 to 16)

role-based training for senior staff, agent operators, and reviewers, paired with on-site or remote sessions

4

production rollout (weeks 12 to 24)

staged rollout across teams, ongoing support, and quarterly reviews after go-live