Ternao

CUSTOM LLMS · MACHINE VISION · INTERNAL SYSTEMS

Software consulting and AI implementation.

Ternao helps businesses plan software projects, build internal systems, and apply AI where the work is clear enough to support it.

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The hardest part of a software project is figuring out what to actually build.

WHO WE HELP

When you know what needs to change, but not how to build it.

Ternao works with founders, SMBs, internal operations teams, and existing technical teams that need senior help making sense of a software or AI project.

  • FOUNDERS Focused constellation expanding from one central point

    For non-technical founders, that may mean shaping the system, understanding the risks, and deciding what kind of technical help comes next.

  • OPERATORS Connected cluster constellation

    For operators, it may mean replacing manual work, disconnected tools, spreadsheet-heavy processes, or internal systems that no longer fit how the business runs.

  • TECHNICAL TEAMS Structured architecture constellation

    For technical teams, it may mean a second set of senior eyes on architecture, backlog, delivery pressure, vendor decisions, or a project that has started to drift.

WHAT WE HELP WITH

Software systems, AI workflows, and technical decisions.

  • Software consulting and project setup

    Technical planning, architecture direction, scope definition, vendor review, and early project leadership.

    How to scope an internal tools project before you build
  • Internal tools and workflow software

    Portals, dashboards, admin tools, APIs, integrations, and systems that reduce manual work.

  • AI implementation

    Custom LLMs, document search, summarization, intake support, workflow assistants, and automation with review points built in.

    When AI belongs in the workflow — and when it doesn't
  • Machine vision and image analysis

    Systems that use visual data for detection, classification, inspection, review, or operational decision support.

    What slows down machine vision projects in practice
  • Staff augmentation

    Flexible engineering support for teams that need additional technical capacity, specialist expertise, or help moving an existing roadmap forward.

    When staff augmentation helps — and when it creates more overhead
  • Technical review and advisory

    A second set of senior technical eyes on systems, vendors, architecture, AI ideas, or project plans before larger commitments are made.

WHO WE WORK WITH

Built to support teams at different stages of growth.

  • Enterprise

    We help larger organizations improve internal systems, modernize workflows, support technical initiatives, and evaluate where software or AI can reduce friction without adding unnecessary complexity.

  • Mid-Sized

    We work with growing companies that need better systems, stronger technical direction, and help planning or delivering software projects without overbuilding.

  • Small-Sized

    We help smaller businesses replace manual work, connect disconnected tools, and build internal systems that better match how the business actually runs.

  • Startups

    We work with founders and early teams that need help shaping software ideas, planning the build, validating technical decisions, and applying AI where it supports the product or operation.

WHAT WE LOOK AT FIRST

We look at the work before we recommend the build.

Before recommending a tool, model, architecture, or rebuild, we look at the parts of the work that usually decide whether the project will hold up in the real business.

  • The work What needs to happen, who does it now, and where the process breaks down.
  • The users Who needs the system, what they need from it, and what would make it hard to adopt.
  • The data Where the information comes from, whether it can be trusted, who can access it, and how sensitive it is.
  • The existing systems The tools, databases, APIs, spreadsheets, vendors, and internal workflows already involved.
  • The risks Where mistakes would matter, where security or privacy needs attention, and where AI output needs a person to check it before it is used.
  • The next useful step What should be built, tested, reviewed, automated, delayed, or avoided entirely.
Six connected considerations A hexagonal diagram showing six equal considerations — Work, Users, Data, Systems, Risks, and Next Step — each connected to its neighbours. The text to the left describes each in detail. Work Users Data Systems Risks Next Step

HOW WE WORK

Senior technical judgment before expensive commitments.

Ternao is built for companies that need experienced software help without turning every problem into a bloated technology project.

  1. 01

    Diagnose first

    Before recommending a build, tool, or architecture, we look at the work, users, data, and risks that decide whether the project will survive contact with the business.

  2. 02

    Right-size the answer

    Sometimes the real fix is a new internal tool. Sometimes it is fixing the flow between systems already in place. Sometimes it is simplifying the process before adding more technology.

  3. 03

    AI where the work supports it

    AI belongs in the workflow when the task, the data, and the review process are clear. When they are not, AI usually creates more work, not less.

  4. 04

    Security considered early

    Access, privacy, data handling, and AI output review are part of the design from the start, not patched in once the project is moving.

START WITH THE ROUGH VERSION

Tell us what you are trying to build, fix, or figure out.

You do not need a polished brief. Send the rough context: what you are trying to do, what exists now, what is not working, and where you need technical help.

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