Off-the-shelf tools force your team into someone else’s process, and the workarounds cost more every year. Axiom builds custom software, CRMs, APIs, and AI agents that fit the way you already operate, on architecture you own outright and can hand to any team.
Built Right. Built to Fit. Built to Hand Over.
One partner across the build: engineering, QA, SEO and design under 2tentech.
Custom systems, integrations, and AI, delivered by one team that owns the architecture end to end.
Systems built to your process instead of the other way round, when off-the-shelf tools force workarounds your team pays for daily.
Customer systems modelled on how you actually sell, with the pipeline stages, fields, and automations your team already uses.
REST and GraphQL services, plus the integration work that gets your existing tools talking to each other reliably.
Applications built for the cloud from the start: scalable, monitored, and cheap to run at the size you are now.
A first version narrow enough to ship and learn from, on an architecture that survives the features you add next.
Agents that handle intake, triage, and routine back-office work, each with a human review step, logging, and a fallback path.
Internal platforms for operations, inventory, projects, and reporting, built around the workflow your team already follows.
Clinical and patient-facing systems built with access control, audit trails, and HIPAA-informed architecture from day one.
Replacing or wrapping legacy systems in phases, so the business keeps running while the platform underneath changes.
Focused engagements under the same engineering standards as a full custom build. Each is a page in its own right.
Custom systems outlive the team that built them. These are the commitments that make year two cheap instead of expensive.
You approve a scope document with a feature list, milestones, and a price before anything is billed.
Schemas and migrations designed upfront, so year two adds features instead of untangling columns added under deadline.
Repository, cloud accounts, and documentation transfer to you. No lock-in, and no rewrite if you change teams.
We map the systems you already run before deciding what to replace. Replacement is the last resort, not the opening bid.
Permissions, audit trails, and change history designed into the data layer rather than bolted on after an incident.
Every AI feature ships with a review step, logging, and a fallback path, so automation never runs unsupervised.
Documentation, a runbook, and a training session, so your team can operate it without us on retainer.
Eight stages, each ending in something you can review, run, or own outright.
Workflows, the systems already in place, and where the manual hours actually go.
Scope document
Entities, relationships, permissions, and the migration path off what you run today.
Schema and ERD
Services, integrations, hosting, and the security model, agreed before code.
Technical plan
Typed, tested increments with a staging environment from the first sprint.
Reviewable staging
Connecting the CRM, payments, and internal tools you already depend on.
Working integrations
Functional, load, permission, and accessibility testing before release.
Test report
Repository, infrastructure, documentation, and a training session for your team.
Ownership transferred
Monitoring, patching, and a standing block of time for the next release.
Monthly reporting
Boring, well-supported technology your next engineer will already know. We optimise for the team who inherits it.
Typed models end to end
APIs and background services
Dashboards and internal tools
Portals and product surfaces
Relational data and migrations
Contracts between systems
Scaling, backups, monitoring
Permissions and access control
Background and agent workflows
Claude and OpenAI in product
Answers over your own data
Logging, tracing, alerting
Three ways to engage, depending on how defined the work is. Every engagement is quoted against an approved scope document.
$500 – $35,000
per project, fixed scope
A defined build with an agreed feature list, milestones, and a launch date. Priced per phase against the scope document.
Fits: new sites, redesigns, replatforms.
Discuss this model$250 – $10,000
per month, continuous
A standing block of development time for ongoing releases, maintenance, performance work, and support.
Fits: live sites that keep shipping.
Discuss this model$30 – $500
per hour
Time-boxed help where scope is still forming: consultation, audits, fixes, or a second pair of hands on your own build.
Fits: short engagements and unknowns.
Discuss this modelEvery engagement is quoted against an approved scope document. Nothing is billed before you sign it off.
These are commitments in the Axiom scope document, not aspirations.
The workflows change by sector. These are the ones we have modelled often enough to know where the edge cases hide.
Five live platforms we partner with, each running AI agents against real operational workflows. They shape how we build, integrate, and deploy AI for our own clients.
Partner and integration products. All trademarks belong to their owners.
An AI receptionist that answers calls around the clock, books into a live calendar, detects urgency, and hands off to human agents when a call needs one.
An AI-powered platform to run an aesthetic clinic, with agents covering booking, payments, memberships, marketing, and client care.
An EMR with agents in the workflow: a receptionist across voice, SMS and chat, a scribe that drafts the note, and a billing agent that works denials.
An AI medical scribe positioned to write the note before you leave the room. Ambient capture in, structured clinical documentation out.
AI pet grooming software where agents handle the calls, fill the calendar, and run the admin so the groomer can groom.
What clients ask before starting custom software.
When the workarounds cost more than the build. If your team maintains spreadsheets alongside the tool, pays for seats to get one feature, or loses hours to manual re-entry between systems, that is a recurring cost a custom system removes. If an off-the-shelf product fits, we will tell you to buy it.
An MVP or a single internal tool typically runs eight to twelve weeks. Larger platforms and multi-system integrations run longer and are phased, so you get working software in stages rather than one delivery at the end.
Usually, yes. Integration is often cheaper and less disruptive than replacement. We map what you already run, then connect to it through APIs or build a layer on top. Full replacement is a last resort, and we phase it so the business keeps running.
You do. You get the repository, the infrastructure accounts, and the documentation. Nothing is locked to us, and you can take the project to another team without a rewrite.
Access control, audit trails, dependency hygiene, and encrypted data handling are part of the build, not an afterthought. For healthcare work we build to HIPAA-informed architecture. We will tell you plainly where a requirement needs a specialist audit we do not provide.
Where it removes real work: lead scoring and drafted replies in a CRM, retrieval over your own documents, and agents that handle intake or triage. Every AI feature ships with a human review step, logging, and a fallback path, so nothing runs unsupervised.
Monthly retainers cover releases, monitoring, security patching, and iteration. Custom software is not finished at launch, and pricing it as though it is leaves you stranded a year later.
Send the shape of the problem and we will come back with an approach, a rough range, and the questions we would need answered before quoting properly.