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AI-native technology consulting

Software.Data.Direction.

We build software, data systems, and AI-native solutions with lean delivery and clear, practical fees.

A technical partner.
AI-native from
the first step.

Runaway token spend. Slow responses. Answers you can’t trust. AI that won’t fit your systems. We can help.

Outer Pass is an AI-native practice for software engineering, data systems, and technical advisory. We specialize in getting AI deployments working reliably and keeping their running costs in check.

Our practice is led by a software engineer with more than a decade of experience building software and data systems. You work directly with the engineer doing the work, with clear recommendations, hands-on implementation, and documentation your team can use.

Software engineering

Typical work

Build useful tools and make existing software easier to change. We integrate AI into applications and workflows, then tackle token waste, slow responses, and unreliable behavior with testing and monitoring your team can maintain.

Explore software engineering

Typical work

Custom applications & internal tools
APIs & system integrations
Modernization & reliability
AI applications & agent workflows
Token usage, caching & model routing
Latency, rate limits & deployment reliability
Evaluation, monitoring & failure recovery

Data systems

Typical work

Connect scattered sources and make data dependable for reporting, analysis, and AI. We improve retrieval and context, keep sensitive information behind the right access controls, and make usage, cost, and output quality visible.

Explore data systems

Typical work

Data pipelines & integrations
Data modeling & quality checks
Reporting & analytics foundations
Retrieval & context for AI
Access controls & sensitive data handling
Cost, usage & quality monitoring

Technical advisory

Typical work

Work through the tradeoffs before committing time and money. Choose models, vendors, and deployment approaches against your quality, latency, and budget requirements—with practical recommendations that fit your team and existing systems.

Explore technical advisory

Typical work

Architecture & system reviews
Build-or-buy & vendor evaluation
Technical roadmaps & project scoping
AI use cases & model selection
Deployment costs & usage budgets
AI governance & rollout planning

AI consulting

Typical work

Bring AI into production, reduce its running costs, and connect it to the systems your team uses. We build and improve AI applications and agent workflows, with evaluations, monitoring, and clear controls around data and actions.

Explore AI consulting

Typical work

AI applications & agent workflows
Production rollout & failure recovery
Token usage, caching & model routing
Latency & provider rate limits
Retrieval & system integrations
Evaluation & quality monitoring
Access controls & usage budgets

Lean delivery.
Clear accountability.

AI is part of how we research, design, build, test, and document every engagement. You work directly with the people doing the work, with an agreed scope and fee.

Understand
Walk through your systems, users, and goals. For AI deployments, establish current spend, token usage, response times, and failure patterns.
A measured starting point
Agree
Set the scope, priorities, and fee. Agree on the technical approach and how we’ll measure progress, including AI quality, running costs, and response times.
A practical plan
Deliver
Build, test, and review the work together. Use AI throughout delivery, verify the results, and hand over with documentation and monitoring your team can maintain.
Work you can operate

Let's talk
about
the work.

Tell us what you’re building—or what your AI deployment is costing you. We can help with software, data, model performance, and the decisions behind them.

Software.Data.Direction.

A technical partner.AI-native fromthe first step.

Software engineering

Data systems

Technical advisory

AI consulting

Lean delivery.Clear accountability.

Understand

Agree

Deliver

Let's talkaboutthe work.

A technical partner.
AI-native from
the first step.

Lean delivery.
Clear accountability.

Let's talk
about
the work.