AI AGENTS· VOICE· AVATARS· ENTERPRISE SOFTWARE

We build the AI THAT SHIPS for enterprise teams.

Autonomous agents, fine-tuned models, voice systems and AI avatars — plus the custom software and DevOps infrastructure to run them in production, at millions of requests a day.

4
AI product lines
10M+
Requests/day capacity
99.9%
Uptime target
SOC 2
Type II audited

THE PLATFORM

Agents you can actually watch work.

Every run is traced, every tool call logged, every decision reviewable. No black boxes in production.

rufocus · agent run #4192RUNNING
TraceLogsMetrics
  • erp.query
    412ms
  • ledger.match
    1.9s
  • policy.check
    88ms
  • human.approve
    —
  • erp.write
    —

12:04:31.470 erp.query → 1,284 open invoices

12:04:33.372 ledger.match → 1,281 matched, 3 unmatched

12:04:33.460 policy.check → variance > 2% on 3 records

12:04:33.462 3 exceptions routed to review queue

12:04:33.465 awaiting human approval

0

Tool calls

0ms

p95 latency

0

Exceptions

AUDITED, COMPLIANT
AND BUILT FOR SCRUTINY

SOC 2 Type II

Independently audited controls covering security, availability and confidentiality. Report available under NDA.

HIPAA

Compliant handling of protected health information, with BAAs available for covered engagements.

GDPR

Lawful processing, data subject rights and EU data residency options, backed by a standard DPA.

Enterprise-ready infra24/7 monitoringDedicated engineering pods

PRODUCTS

AI that works while you don't.

Four product lines, all built to run in production from day one — not demos, not prototypes.

AI Agents

Autonomous execution, wired into your systems

Agents that plan, call tools and execute multi-step workflows end to end — running unattended against your real systems, with approvals and audit trails where they matter.

  • Planning and decomposition across long-running tasks
  • Native tool and API calling against your internal services
  • Retry, fallback and escalation policies per workflow step
  • Approval gates for any action you choose to supervise
  • Structured audit logs for every decision and tool call
  • Evaluation harness to catch regressions before deploy
Seconds to minutes per taskYour cloud, our cloud, or on-prem6–10 weeks to production

AGENT LOOP

  1. Plan

    Decompose the task

  2. Call tools

    Query your systems

  3. Check policy

    Apply your rules

  4. Approve

    Human gate, if set

  5. Execute

    Write the result

Fine-tuned Models

Models that speak your domain

Domain-specific models trained on your data, measured against your benchmarks, and deployed on infrastructure you control.

  • Trained on your proprietary data
  • Benchmarked against your metrics
  • Deployed in your VPC
Sub-second inference8–12 weeks to production

Voice Agents

Real-time conversation that holds up

Production voice systems with sub-second response times — handling support, scheduling, qualification and internal operations over the phone or in-app.

  • Sub-second response latency
  • Barge-in and natural turn-taking
  • Telephony and in-app channels
Sub-second round trip6–10 weeks to production

AI Avatars

Digital humans that carry a task through

Avatars that look, speak and act like people — presenting, onboarding and handling tasks across customer and internal touchpoints.

  • Photoreal or stylised presenters
  • Real-time or pre-rendered
  • Brand-consistent across channels
Real-time or batch rendered4–8 weeks to production

SERVICES

Enterprise engineering, done right.

Beyond products, we take on the hard delivery work — the systems, pipelines and platforms your business actually runs on.

Enterprise Software & ERP

Replace the spreadsheet layer

Custom platforms and ERP automation that retire manual handoffs, spreadsheet workflows and legacy tooling.

  • ERP workflow automation
  • Legacy system integration
  • Internal tools & dashboards
  • Data migration & modelling

Typical: 10–16 weeks

DevOps & Platform

Ship on demand, not on a schedule

Infrastructure that deploys on demand — CI/CD, containers, observability and cost-tuned cloud.

  • CI/CD pipelines
  • Kubernetes & containerisation
  • Monitoring & incident response
  • Cloud cost optimisation

Typical: 6–12 weeks

Dedicated Engineering Pods

A senior team that owns delivery

An embedded, senior team that plugs into your organisation and owns delivery from scoping through production.

  • Senior full-stack & ML engineers
  • Embedded in your sprint cycle
  • Fixed-scope or ongoing
  • Handover and documentation included

Typical: Ongoing, 3-month minimum

WHERE WE FIT

What we'd build for you.

Common patterns we see by industry, and the system we'd build to solve each one. Illustrative scenarios — tell us yours and we'll scope it properly.

  • FINANCIAL SERVICES

    Analysts spend days reconciling trade and settlement records across systems that were never designed to talk.

    An agent that pulls both sides, matches them, and escalates only genuine breaks — with an audit trail per decision.

  • HEALTHCARE

    Clinical documentation eats hours that should go to patients, and dictation tools miss domain vocabulary.

    A fine-tuned model trained on your specialty's language, deployed inside your HIPAA boundary.

  • INSURANCE

    First-notice-of-loss intake is a phone queue, and claim data arrives inconsistent and incomplete.

    A voice agent that takes the call, captures structured claim data, and files it directly into your claims system.

  • MANUFACTURING

    ERP data is accurate but unusable — planners export to spreadsheets to answer basic questions.

    An ERP automation layer plus an internal assistant that answers planning questions against live data.

  • RETAIL & E-COMMERCE

    Support volume spikes seasonally and headcount cannot flex fast enough to hold response times.

    Support agents that resolve routine tickets end to end and hand off with full context when they cannot.

  • LOGISTICS

    Exception handling across carriers is manual, and delays surface after the customer has already noticed.

    Agents that monitor shipment feeds, predict at-risk deliveries, and trigger the exception workflow early.

  • PROFESSIONAL SERVICES

    Expertise is locked in documents nobody can search, and onboarding a new hire takes a quarter.

    A retrieval-backed assistant over your knowledge base, with access scoped to each person's permissions.

  • ENERGY & UTILITIES

    Field reports arrive as free text and photos, so trend analysis happens quarterly at best.

    A pipeline that structures field reports on arrival and surfaces emerging failure patterns as they form.

SECURITY & COMPLIANCE

Built to pass procurement.

Audited controls, contractual data guarantees and deployment models that keep regulated data inside your perimeter.

Encryption everywhere

TLS 1.3 in transit, AES-256 at rest, with key rotation on a fixed schedule.

Least-privilege access

Role-scoped access, time-bound elevation and mandatory review of every grant.

SSO & SCIM

SAML and OIDC single sign-on with automated provisioning and deprovisioning.

Audit logging

Immutable logs of every action, exportable to your SIEM in real time.

Data residency

Choose the region your data is processed and stored in, including EU-only.

Isolated environments

Dedicated infrastructure per customer where the engagement requires it.

INFRASTRUCTURE

Built to run at scale.

Capability targets our infrastructure is designed and provisioned against — across four regions, with residency you choose.

0M+

Requests / day

Infrastructure sized for high-volume production traffic.

0ms

Voice response

Sub-second round trips on real-time conversational systems.

0.0%

Uptime target

Redundant, monitored deployments with automated failover.

0

Regions ready

Multi-region architecture for latency and data residency.

US WestUS EastEU WestAsia SouthAsia Pacific

PROCESS

How we work.

A delivery model built for speed without the usual agency overhead — and with something working in your hands early.

  1. 01

    Discover

    We map your systems, constraints and success metrics — then scope the smallest thing that proves value.

    • Systems and integration map
    • Success metrics agreed in writing
    • Scoped plan with fixed timeline
  2. 02

    Design & Prototype

    A working prototype in weeks, not quarters. You use the real thing before we commit to scale.

    • Working prototype on real data
    • Architecture decision record
    • Evaluation criteria for go/no-go
  3. 03

    Build & Integrate

    Production engineering: your data, your auth, your compliance requirements, wired into your stack.

    • Production system in your environment
    • Integrations with your internal services
    • Test and evaluation suites
  4. 04

    Ship & Support

    Deploy on monitored infrastructure with rollback, on-call coverage and a clear handover path.

    • Monitored deployment with rollback
    • Runbooks and team training
    • Agreed support and escalation model

ENGAGEMENT MODELS

Work with us how it suits you.

Three ways to engage, all with named senior engineers and no account-management layer between you and the people building.

Fixed Scope

Per project

A defined deliverable, a fixed price and a fixed date. Best when the requirements are already clear.

Best for: Well-defined projects with agreed requirements

  • Written scope and acceptance criteria
  • Fixed price, fixed timeline
  • Weekly demos against the plan
  • Documentation and handover

Dedicated Pod

3-month minimum

A senior cross-functional team embedded in your organisation, working your backlog at your cadence.

Best for: Ongoing product development and platform work

  • Named engineers, not a rotating bench
  • Embedded in your sprint ceremonies
  • Flexible scope within the sprint
  • Direct access to the team, no account layer

Retainer & Support

Rolling monthly

Ongoing operation, monitoring and iteration of systems already in production.

Best for: Systems we built, or inherited systems needing an owner

  • Defined response and resolution targets
  • Proactive monitoring and patching
  • A monthly allocation for enhancements
  • Quarterly architecture review

THE STACK WE SHIP WITH

PYTHONAIPYTORCHAILANGGRAPHAIVLLMAITYPESCRIPTAPPNEXT.JSAPPGOAPPPOSTGRESQLDATAREDISDATAPGVECTORDATAKUBERNETESINFRADOCKERINFRATERRAFORMINFRAAWSINFRAGRAFANAINFRAOPENTELEMETRYINFRA

FAQ

Questions we get asked.

The things enterprise teams want answered before a first conversation.

Who owns the IP for what you build?

You do. Everything we build for you — code, models, weights, datasets and documentation — is yours on delivery. We do not retain rights to reuse client work, and we do not train shared models on your data.

How quickly can you start?

Usually within two weeks of a signed scope. Discovery can often begin sooner, and we will tell you honestly if our next available team is further out.

What does a first engagement typically look like?

A scoped 6–10 week build ending in a system running in production, not a slide deck. We start narrow, prove it works against your real data, then expand.

Do you work with our existing engineering team?

Yes, and it usually works better that way. Our engineers join your ceremonies, work in your repositories and document as they go so your team can own the result.

Let's build something fast.

Tell us what you're trying to ship. We'll come back with a scope, a timeline and a working plan — usually within a week.