Senior AI Systems Consultancy

The senior team behind AI systems that actually ship.

We're a boutique consultancy of senior engineers who design, build, and operate the workflows and agents your business depends on. Production in weeks — not slide decks, not prototypes.

Talk to us

See our work

Northwind CapitalFinance

Coordinated agent swarm replacing an ops team.

Agents that ingest deal data, draft memos, and route exceptions to humans — audited end to end.

1,400 hrsSaved weekly

98.7%Eval pass

12.6k/hrThroughput

Read full case study

Switch case

Senior engineers only
Evals before features
Cost ceilings, not estimates

Systems shipped

0 wks

Median to production

Avg eval pass rate

Trusted by teams like

NorthwindHeliosStratusLatticeQuantaMeridianAtlasVertexCobaltNorthwindHeliosStratusLatticeQuantaMeridianAtlasVertexCobalt

01 · Core Capabilities

Two practices that compound. Zero prototypes.

Our primary work lives at the intersection of reliable workflows and reasoning-capable agents. We build the systems, integrate them deeply, and stay accountable once they're live.

Workflow Development & Automation

Replace manual ops with systems that don't sleep.

We map your operations, identify the highest-leverage automations, and build durable workflows on the orchestration layer that fits your stack. Every workflow ships with telemetry, retries, and clear ownership.

Orchestration

Temporal · n8n · Inngest · custom

Integrations

100+ APIs, queues, CRMs, ERPs

Observability

Traces, retries, dead-letter queues

Governance

Versioning, RBAC, audit trails

Cut median turnaround from days to minutes
Eliminate copy-paste between SaaS tools
Operational SLAs backed by telemetry, not vibes

Production-ready in weeks

Custom AI Agent Development

Agents that reason over your data and take action.

We design agents that go beyond chat — they call tools, read your systems, recover from failure, and escalate when appropriate. Every agent is built with evals, guardrails, and a clear cost ceiling.

Reasoning

Claude, GPT, OSS, fine-tuned blends

Knowledge

RAG, structured + unstructured

Tools

Your APIs, scoped and validated

Evals

Offline suites + online scoring

Defensible answers grounded in your data
Bounded cost, latency, and failure modes
Clear escalation paths to humans when needed

Production-ready in weeks

02 · Adjacent Capabilities

When the brief expands, so do we.

AI rarely ships alone. The same senior team can build the surfaces your agents and workflows live in — without you coordinating three vendors.

Mobile App Development

Native-grade iOS and Android apps — built on the right primitives for your product, your team, and your timeline.

Swift / Kotlin when you need it
React Native or Expo when you don't
App Store & Play Store readiness

SwiftKotlinReact NativeExpo

Engaged as a pod

Web App Development

High-performance product surfaces — dashboards, internal tools, customer portals — that feel considered and load instantly.

Design-system-first builds
Server components & streaming
Accessibility built in, not bolted on

Next.jsTypeScriptTailwindtRPC

Engaged as a pod

SaaS Product Development

Multi-tenant SaaS from prototype to production — auth, billing, observability, and the unglamorous glue done right.

Tenancy, auth, and billing
Postgres + queues + workers
Observability and cost ceilings

Next.jsSupabaseStripePostgres

Engaged as a pod

03 · How We Work

Five steps. No theatrics.

We've done this enough times to know where projects fail. Our process is designed to surface risk early and keep momentum high.

Step 01·Week 1

Discover

We map your operations end-to-end, surface the highest-leverage opportunities, and pressure-test assumptions before a line of code is written.

Stakeholder interviews
Process & data audit
Opportunity sizing
Risk register

Step 02·Week 2

Architect

We design the system — orchestration layer, model choices, integrations, data flow, and the metrics that will define success.

System & data model
Tool & model selection
Eval design
Cost & latency budgets

Step 03·Weeks 3–6

Build

We ship a working slice early and iterate weekly against your real workflows. You see every commit, every eval, every decision.

Weekly shipping cadence
Continuous evals
Live demos & feedback
Shared roadmap

Step 04·Week 7+

Launch

We deploy with guardrails, observability, and rollback playbooks. Nothing ships to production without them.

Staged rollout
Monitoring & alerts
Runbooks & on-call
Security review

Step 05·Ongoing

Compound

Once it's live, we look for the next leverage point. The systems we build make the next ones cheaper and faster.

Quarterly reviews
Capability expansion
Cost optimization
Knowledge transfer

04 · Selected Work

Systems in production, not slide decks.

A small sample of recent engagements. We share detailed case studies under NDA — start a conversation if you'd like to see more.

01 / 04

AgentsFinanceProduction

Northwind Capital

Replacing an ops team with a coordinated agent swarm.

A multi-agent system that ingests deal data, drafts memos, and routes exceptions to humans — audited end to end.

Throughput12.6k / hr

Eval pass98.7%

Hours saved1,400 / wk

WorkflowHealthcareHIPAA

Helios Health

Clinical workflow that survives a HIPAA audit.

Workflow orchestration across 6 EHRs with redaction, RBAC, and a complete audit trail — shipped in 9 weeks.

Median turnaround−74%

A SaaS portal that replaced 4 internal tools.

Multi-tenant customer portal with billing, RBAC, and a real-time ops dashboard. From prototype to GA in 11 weeks.

An autonomous research agent with bounded cost.

Agent that searches, reads, and synthesizes across a private corpus — with hard cost and latency ceilings.

Cost / task$0.06

p95 latency3.4s

Citation accuracy99.2%

View case study

05 · Why Aetheric

The team you wish you'd hired in-house.

AI consultancies tend to either sell hype or ship a prototype and disappear. We do neither. Here's the difference.

Senior engineers only

No offshore teams, no juniors masquerading as leads. The people you meet in the first call are the people who build your system.

Production is the only deliverable

We don't measure success by demos or decks. If it isn't running with telemetry and a rollback plan, we haven't shipped it.

Architecture you can own

You retain every artifact — code, infrastructure, evals, runbooks. We don't build dependency on us; we build dependency on your own team.

Cost ceilings, not estimates

We agree on per-request cost and p95 latency budgets up front, and we instrument them from day one. Surprises are a bug.

Evals before features

Every AI system ships with offline evals and online scoring. If we can't measure it, we won't put it in front of a user.

Security & compliance by default

SOC2-aware practices, least-privilege tooling, redaction at the edge. We treat your data the way a regulated team would.

06 · Engagement

One senior team. Three ways to engage.

Pick the shape that fits where you are. Every engagement starts with a 30-minute diagnostic — no commitment.

Build & Operate

An embedded pod that ships the system and stays accountable for its first 90 days in production.

For: Teams with a clear use case and executive buy-in.
Duration: 6–12 weeks

Working system in production
Evals, monitoring, runbooks
Weekly demos & roadmap
Knowledge transfer to your team

Talk to us

Strategic

Architecture Sprint

A two-week diagnostic: we audit, design, and produce the blueprint your team (or another vendor) will execute against.

For: Leaders evaluating AI before committing capital.
Duration: 2 weeks

System & data architecture
Tooling & model recommendations
Risk & cost model
Execution-ready roadmap

Book a Sprint

Continuous

Retainer Pod

A dedicated senior pod that operates alongside your team month over month — for the systems you've already shipped.

For: Operators with systems in production that need care.
Duration: Monthly

On-call coverage
Continuous evals & improvements
Quarterly capability expansion
Direct Slack channel

Talk to Eng

07 · Operators on Aetheric

The kind of work you don't outsource twice.

“Aetheric shipped a system that did in nine weeks what two internal teams and an offshore vendor hadn't managed in eighteen months. They own the production outcomes, not just the build — and that changed how we think about AI projects.”

Elena Marsh

VP of Operations, Northwind Capital

Time to production9 weeks

08 · Start

One conversation. Real clarity.

Tell us the operational problem you're trying to solve. We'll respond within one business day with a candid assessment.

Or email hello@aetherichq.com

Diagnose

A 30-minute call to understand the problem and the constraints.

Propose

A written scope with cost ceilings, timeline, and success criteria.

Ship

An embedded pod in week one. Production in weeks, not quarters.