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00 · The brief
Custom AI agent systems, engineered to absorb work that's expensive by design.

CustomAIagentsystems,engineeredtoabsorbworkthat'sexpensiveby design.

Engineering-led implementation for ambitious operators. We build production-grade AI systems that take over your most expensive, repetitive workflows — not prototypes, not vendor wrappers.

Free AI audit
  • Systems shipped
  • Recovered annually
  • Retention
  • Faster cycles
01INFRASTRUCTURE
Engineering AI for ops · Engineering AI for finance · Engineering AI for customer ops · Engineering AI for legal review · Engineering AI for revenue intelligence · Engineering AI for compliance
01INFRASTRUCTURE

Engineering on the world's best AI infrastructure

OpenAI, Anthropic, Google, AWS, Vercel, LangChain, Pinecone — production-grade systems, not vendor wrappers.

OpenAI
Anthropic
Google
AWS
Vercel
LangChain
Pinecone
02THE PROBLEM

Your most expensive work is repetitive.

Operations teams spend 60–80% of cycles on workflows machines could absorb. Most AI vendors deliver demos. We deliver systems.

Manual triage

Hours of manual triage
Replaced by an autonomous agent loop

Same task, 100× daily

Same-task 100× daily
Codified once, audited forever

Vendor-tool sprawl

Vendor-tool sprawl
One coherent custom system
03WHY US

Engineering-led, outcome-owned.

We don't ship prototypes.

Engineering-led

Senior engineers from day one. No project managers between you and the people writing the code.

Outcomes owned

We measure ourselves against the workflows we replace, not deliverables shipped.

Custom systems

Built from primitives that fit your data, your team, your stack — not a SaaS shell.

Production-grade

Type-safe, observable, audit-ready. Not a notebook in a Lambda.

04HOW WE WORK

Four stages, six to twelve weeks.

We scope tightly so the first measurable outcome lands fast.

Discover

We map the workflow end-to-end with the team that owns it. Output: a written architecture and success metric.

Design

We choose models, plumbing, and data access. Trade-offs are documented before code is written.

Build

Two-week iterations against the success metric. Live demos every Friday with the operating team.

Operate

Hand-off to your team OR ongoing operation by us. Audit trails, monitoring, on-call.

05OUTCOMES

Quiet systems doing loud work.

A handful of recent engagements. Names withheld until logos are public.

40%

Customer ops cycle time

Replaced 12 FTE-hours/day with an audited agent loop in a regulated environment.

99.1%

Document review accuracy

Outperformed the human baseline on three production-pipeline benchmarks.

30%

Revenue ops touch reduction

Eliminated 30% of manual touches in revenue close, with a clean audit chain.

06INDUSTRIES

Built for operators across regulated and unregulated work.

Financial Services
Healthcare
Legal
Logistics
Commerce
Manufacturing
Telecom
Real Estate
Professional Services
07VALIDATION

What operating teams say.

Quotes from the people who own the workflows we replaced.

They replaced a process I'd given up trying to fix. Eight weeks in, the metric we agreed on moved 38%, and they handed us a system we now extend ourselves.


Sarah Chen
VP Operations

Engineers, not consultants. We had agents in production talking to our actual systems on day 11. The audit trail was solid enough that compliance signed it off without redlines.


Marcus Webb
CTO

Three other vendors had given us slide decks. Gravlon shipped working code. The retention argument made itself.


Rod Schejtman
Head of AI
08SERVICES

Six ways we engineer AI into your operation.

Each engagement combines two or three of these into a coherent system.

AI Agents

Multi-step autonomous workflows that read, decide, and act with audit trails.

Workflow Automation

Replace tickets, spreadsheets, and stitched-together SaaS with one engineered loop.

Data Pipelines

Reliable ingestion, retrieval, and grounding so your agents work on the right facts.

System Integration

We plumb AI into your existing tools — Salesforce, Slack, Snowflake, Jira, internal APIs.

AI Consulting

Architecture, model selection, vendor strategy. Independent of any model provider.

Optimization

Existing AI features that miss the mark? We rebuild the parts that matter.

09NUMBERS
Systems shipped
Recovered annually
Client retention
Faster cycles vs vendor-led

// Numbers are placeholders pending audit. Replace before launch per docs/design-principles.md §14.

10TRUST

Your data passes the audit.

Built so the CISO doesn't bounce the engagement before it begins.

  • Encryption end-to-end

    AES-256 at rest, TLS 1.3 in flight, key rotation managed via your existing KMS.

  • Private deployment

    Run on your VPC or our SOC-2 cloud. No multi-tenant data crossings.

  • Audit trails

    Every agent action is logged with structured context. Exportable to SIEM.

  • No training on your data

    Strict no-retention contracts with model providers, verified per request.

11OBJECTIONS

Questions operators ask.

If yours isn’t here, ask in the form below.

Contact

Free AI audit — no slides, no upsell.

Two engineers spend 90 minutes with you, walk away with a written architecture for one workflow. If we can’t help, we’ll tell you who can.

  • A written architecture for one specific workflow
  • Two senior engineers — not sales reps
  • 90 focused minutes with a working agenda
  • An honest answer: we tell you if we can't help
Budget range