Now onboarding a limited number of enterprise engagements for Q3 — dedicated teams, not fractional. Talk to us →

AI digital agency — enterprise

AI built for scale

Compunamics designs, builds, and operates AI systems, performance marketing, and deep data analysis for medium-to-large organizations. We embed a dedicated senior team, instrument the funnel, and stay accountable to the metric on your board deck — not a slide deck.

SLA-backed delivery SSO & security review ready Senior team, no junior hand-offs
AI Systems Performance Marketing Deep Data Analysis
Private · No obligation

Talk to our team

Tell us what you need to move in the next two quarters. A partner — not an SDR — reviews every inbound and replies within 2 business days.

No pitch-deck spam. A partner reads this personally.

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A partner will review your note personally and reply within 2 business days to set up your strategy call. If it's time-sensitive, email hello@compunamics.com directly.

Trusted across

Enterprise SaaS Financial services Healthcare networks Multi-region retail B2B technology Industrials

Where you are

Two ways to bring us in.

Whether you need a team embedded inside your org or a scoped program with a hard deadline, the discipline is the same: instrument first, ship in increments, prove what moved.

Ongoing partnership

Embedded AI & growth team

We operate as a dedicated unit inside your org — AI engineering, performance marketing, and data — led by a partner, integrated into your Slack/Teams, accountable to your KPIs. Multi-brand and multi-region orchestration when you need it.

See embedded engagements →
Fixed scope

Transformation program or fixed-scope project

A defined initiative with a deadline and a number we agree to move — an agent platform, an attribution rebuild, a warehouse migration — delivered against a written architecture and an SLA.

See program & project →

Capabilities

Three practices. One discipline: ship and measure.

We work where AI, growth, and data meet — at the scale, security posture, and governance medium-to-large organizations actually require.

Enterprise AI Systems

Production agents, RAG over your private corpus, and LLM applications wired into your stack — model-agnostic across Claude, GPT, and open weights. Built with evals, guardrails, and human-in-the-loop where the stakes demand it.

  • Agent design & evaluation
  • RAG over governed private data
  • Human-in-the-loop & guardrails

AI Platform & MLOps

The unglamorous layer that makes AI safe to run at scale: deployment pipelines, prompt and model versioning, cost controls, observability, and audit trails your security team will sign off on.

  • Deployment & versioning pipelines
  • Cost, latency & quality monitoring
  • Audit logging & access control

Performance Marketing

Paid acquisition, SEO, and content engines run as one revenue system — instrumented before a dollar moves, tuned to pipeline and LTV, not impressions. Multi-brand and multi-region by default.

  • Paid search & social
  • SEO & content engines
  • Multi-brand / multi-region orchestration

Lifecycle & CRM Automation

Lifecycle, CRM, and marketing automation that closes the loop between spend and closed revenue — wired into HubSpot or Salesforce with server-side, privacy-compliant tracking.

  • Lifecycle & nurture automation
  • Closed-loop attribution
  • Server-side, consent-aware tracking

Data Warehouse & Engineering

From raw events to decisions you can defend. Warehouse architecture, ELT, and modeling that compress reporting cycles and give every number an auditable source.

  • Warehouse & ELT (dbt, BigQuery, Snowflake)
  • Semantic layer & governed metrics
  • Executive dashboards

Analytics & Applied ML

Attribution, experimentation, and bespoke predictive models — segmentation, churn, propensity, forecasting — that answer the questions your board actually asks.

  • Attribution & experimentation
  • Predictive & segmentation models
  • Forecasting & scenario modeling

Selected outcomes

What “good” looks like at scale.

Anonymized snapshots from recent engagements with mid-to-large organizations. Numbers are real but framed as illustrative — we'll model yours on the first call.

−73%
Support response time

A Claude-powered agent triaged 41% of inbound tickets without escalation; the rest were routed faster and pre-summarized. First-touch-to-resolution fell from 4h 12m to 1h 08m across a multi-region support org.

11→3d
Monthly close, before → after

A consolidated warehouse and a CFO-facing dashboard with sourced numbers compressed monthly close from eleven days to three. Reconciliation time fell 64%.

3.1×
Qualified pipeline in one quarter

A rebuilt content engine plus paid-channel reallocation tripled qualified pipeline in 90 days. CAC fell 22%; MQL→SQL conversion improved 17%.

// Anonymized engagement data. Reproducibility depends on your context — we'll model yours on the discovery call.

Method

How we run an enterprise engagement.

A five-step rhythm that keeps optionality cheap early and compounding gains late. Two-week cycles, working demos, your team driving by week six — with governance baked in, not bolted on.

01

Discover

Audit your data, stack, security posture, and goals. Surface the asymmetric bets — and the constraints procurement and security will impose.

02

Architect

Design the system end-to-end before writing code. Cheap to change here. We pick models, pipelines, metrics, and the data-governance model together, in writing.

03

Build

Ship in two-week increments. Working demos, not slideware. Your team runs the demo by the third sprint and owns the runbook.

04

Operate

Instrument everything. Iterate weekly against the metric we agreed to move. SLAs, on-call, and escalation paths defined up front.

05

Govern & report

Quarterly business reviews, audit-ready logging, and a single source of truth your board can read. We compound until the system is boringly reliable.

Engagement models

Three ways to work with us.

Pick the scale and embed dynamics that match your mandate and internal resources.

01Project

Fixed-scope project

A defined initiative with a deadline — an agent platform, an attribution rebuild, a warehouse migration. Written architecture, fixed milestones, clean hand-off.

03Strategic

Transformation program

Org-wide change: bespoke fine-tuned models, platform standup, and multi-brand/multi-region orchestration under a dedicated CMO/CDO-level lead and a custom MSA.

Stack

Model-agnostic. Provider-agnostic. Outcome-loyal.

We pick the tools that fit the mandate and your security posture — and we'll work inside the platforms you've already standardized on.

Claudereasoning · agents
GPT-5general LLM
Llama / Mistralopen weights
LangChainorchestration
Pineconevector store
BigQuerywarehouse
Snowflakewarehouse
dbttransforms
Looker / HexBI & notebooks
GA4 / Mixpanelproduct analytics
HubSpot / SalesforceCRM
AWS / GCPcloud

Under NDA

What partners say.

−68% resolution time
"They embedded with our support and platform teams and shipped an agent that held up under real load. Six weeks in, our own engineers were running it. No black box, no lock-in."
VP, Customer Operations · Enterprise SaaS (NDA)
Audit-ready in one quarter
"Our close was a fire drill every month. Compunamics rebuilt the warehouse and gave finance numbers we could defend to the board. The dashboard is the first thing I open."
CFO · Multi-region retail group (NDA)
3× qualified pipeline
"Most agencies sell hours and report on impressions. This team instrumented the funnel first, then earned the spend. Marketing finally has a number the CRO trusts."
CMO · B2B technology (NDA)
SSO & security signed off
"What sold our security org was that the governance was there from day one — SSO, audit logs, access controls. Procurement and InfoSec both cleared it without a fight."
CIO · Healthcare network (NDA)

Engagement & investment

Priced to the mandate, not a menu.

Every enterprise engagement is custom-scoped — dedicated teams, formal SLAs, and a commercial structure that fits your procurement process. Pick the shape that fits; we'll build the number with you.

Program
Contact for pricingFixed scope · written SLA

A defined initiative with a deadline and a number we agree to move.

Best when you have one hard problem and a date.

  • Fixed scope & written architecture
  • Dedicated senior pod
  • Defined milestones & acceptance criteria
  • SLA on delivery dates
  • Clean hand-off, runbook + code ownership
  • 30-day post-launch support
Scope a project
Strategic
Contact for pricingOrg-wide · custom MSA

Org-wide transformation across brands, regions, and teams.

Best for multi-brand / multi-region mandates with board-level stakes.

  • Everything in Embedded, plus:
  • Dedicated (not fractional) CMO / CDO-level lead
  • Multi-brand & multi-region orchestration
  • Bespoke model fine-tuning & private platform standup
  • Security review, SSO, SOC2-aligned controls
  • Procurement support & custom MSA
  • Executive QBRs + dedicated success partner
Talk to a partner
CapabilityProgramEmbeddedStrategic
Written architecture & scope
Dedicated senior teampodteamteam + lead
Partner-led (no junior hand-offs)
Formal SLAsdeliveryfullfull
Slack / Teams integration
Closed-loop attribution & dashboardsadd-on
Quarterly business reviews
Dedicated CMO / CDO-level lead
Multi-brand / multi-regionoption
Security review · SSO · SOC2-alignedoption
Procurement support & custom MSA
Bespoke model fine-tuningoption

// Every engagement is custom-scoped. Pricing reflects team size, SLA, and security requirements — we'll build it with you on the first call.

R&D — Compunamics Labs

What we're building now.

Now live

Eval & regression harness for production agents

Continuous evaluation that catches model drift and prompt regressions before they reach users — versioned, reproducible, wired into CI.

Active beta

Governed RAG with row-level access control

Retrieval that respects your existing permission model, so an agent never surfaces a document the asker isn't cleared to see. Built for regulated data.

In development

Closed-loop spend-to-revenue attribution

Server-side, consent-aware attribution that ties ad spend to closed pipeline in the warehouse — bypassing browser-pixel limits across brands and regions.

About

A senior team that ships — and stays.

Compunamics is partner-led, with no staffing pyramid and no junior hand-offs. The people who scope your engagement are the people who build it. We've shipped AI products at scale, run growth across brands, and stood up the data foundations that make both defensible.

Most engagements begin with a paid two-week discovery: we audit your data, stack, and security posture, then come back with a written architecture and an honest read on whether AI is the right lever at all. We'd rather tell you "not yet" than sell you a system that won't move your number.

We work inside your governance from day one — SSO, audit logging, access controls, and a commercial structure your procurement and security teams can clear without a fight.

Start here

Have a problem worth solving at scale?

Tell us what you need to be measurably better at in two quarters. We'll come back with a sharp opinion, a written path, and an honest read on whether AI is the right lever at all — within 2 business days.

Request a strategy call