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 deliverySSO & security review readySenior team, no junior hand-offs
AI SystemsPerformance MarketingDeep 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.
Thanks, there — we've got it.
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.
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.
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.
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.
Most Requested
02Embedded
Embedded AI team
A dedicated senior unit operating inside your org across AI, growth, and data — partner-led, integrated into your Slack/Teams, accountable to your KPIs with formal SLAs.
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.
// 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.