Enterprise Platforms & Integration
Custom platforms and APIs that connect your ERP, CRM, data warehouse and legacy systems, so teams work from one source of truth.
Enterprise AI engineering · Human-led · AI-accelerated
We Build Enterprise Software with AI.
A Senior Engineer Stays in Charge.
We engineer enterprise platforms, integrations and AI systems for organizations that can't afford to get it wrong. AI agents do the heavy lifting at machine speed, so you spend far less than it takes to build an engineering team in-house. A senior engineer directs the work, reviews every change and signs off on what ships.
- Founded
- 2004
- Focus
- Enterprise Software & AI
- Experience
- 20+ years
01 — Human + AI
Enterprise Engineering for Far Less. With a Person Who Keeps It Safe.
Building an in-house engineering team means months of hiring, salaries and benefits, and management before the first release. We give you a senior team from week one, with AI agents doing the heavy lifting so you pay for results, not headcount. And because a senior engineer reviews every change, the speed never costs you your uptime.
dolox / payments-service · review queue
24 approved 1 in review
- Approved
Refactor payment retries
AGENT-07 · +142 −58 · 6 files
- Changes requested
Add idempotency keys to charges
AGENT-12 · +88 −12 · 4 files
Senior engineer: Key it on the order ID: a retry must never create a second charge.
- In review
Migrate invoices to the new schema
AGENT-03 · +310 −204 · 11 files
Senior engineer is reading the diff
- Checks running
Cache product search results
AGENT-09 · +64 −9 · 3 files
- Drafting
Write tests for the refund flow
AGENT-05 · +420 −0 · 8 files
Illustration · how a change moves through our review gates
Agents
fast, tireless, literal
- Draft and scaffold code
- Write tests and documentation
- Refactor and migrate
- Triage logs, alerts and bugs
- Run evaluations on every change
Senior Engineers
judgment, context, accountability
- Set the architecture and the guardrails
- Review and sign off every change
- Own security and the trade-offs
- Decide what ships, and when
- Talk to you, and stay accountable
What it means for your budget
AI Makes It Cheaper. People Make It Safe.
Engineering payroll is a large part of most technology budgets, and a team takes months to hire and longer to get productive. Dolox gives you the output of a senior team without carrying the payroll: agents take the repetitive work at machine speed, experienced engineers take the decisions, and you pay for what ships. The same review that stops an agent breaking your site is what keeps your costs predictable.
Building in-house
- Months to recruit
- Salaries, benefits, recruiter fees
- Management and ramp-up time
- Paid whether busy or not
With Dolox
- A senior team in week one
- You pay for the work delivered
- Senior Engineers lead and review
- Scale down when it ships
- 01
No Hiring Cycle
Skip the recruiting search and the ramp-up. A senior team starts on your problem in the first week.
- 02
Pay for the Work, Not the Bench
No salaries, benefits or management overhead. Scale the team up for the build, and down when it ships.
- 03
Agents Take the Repetitive Work
Tests, migrations, boilerplate and documentation done at machine speed, so every engineer-hour goes further.
- 04
Fewer Expensive Mistakes
A senior engineer reviews every change, so an agent never takes down your site, your data or your revenue.
How we keep it safe
01
Agents Propose. Engineers Decide.
Nothing an agent writes reaches production without a human approving it.
02
A Named Owner on Every Change.
A senior engineer is accountable for each one, and you know who.
03
Gates Before Humans, Humans Before Production.
Tests, type checks, security scans and evaluations run first, so reviews are spent on judgment.
04
Logged, Reversible, Auditable.
Every agent action leaves a trail, and every release can be rolled back.
We don't hide the AI, and we don't hand it the keys. You get the savings of the machines and the judgment of a person who is responsible for the result.
02 — Enterprise solutions
Built for the Way Enterprises Work. Security, Scale and Accountability Included.
Large organizations don't need another demo. They need systems that connect to what already runs the business, pass a security review and stay up. That is the work we do, with AI doing the heavy lifting and a senior engineer accountable for the result.
AI Copilots & Agents for Internal Teams
Assistants grounded in your own documents and systems, with permissions that mirror yours and a person approving every action that matters.
Legacy Modernization
Incremental moves off aging code and infrastructure: no big-bang rewrite, and no downtime for the business while it happens.
Workflow Automation
Approvals, reconciliation, reporting and back-office processes handled by agents, supervised by the people who own them.
Data Platforms & Analytics
Pipelines, search and dashboards that make a decade of company data usable: governed, searchable and current.
Customer-Facing Products at Scale
High-traffic web, mobile and commerce platforms engineered for peak load, with design that holds up at that scale.
By default, not as an add-on
What an Enterprise Team Requires, We Start From.
Security, legal and procurement ask the same questions before any project starts. We answer them up front, so the work is never held up in review and nothing has to be bolted on at the end.
Included in every engagement
- A named senior engineer who is accountable
- A written security and data-handling plan
- Documentation your auditors can use
- Every change reviewed and logged
- Security by Design
- Threat modeling up front, least-privilege access, managed secrets, and dependency and vulnerability scanning in every build.
- Identity & Access
- SSO (SAML, OIDC), role-based access control, and audit logs on every sensitive action.
- Data Stays Yours
- Deployed in your cloud or on your premises. Residency, retention and PII handling agreed before the first commit.
- Compliance Support
- We build to your frameworks (SOC-2, ISO 27001, HIPAA, GDPR) and produce the documentation your auditors ask for.
- Reliability You Can Plan Around
- Observability, runbooks, zero-downtime releases and a support model that fits your SLAs.
- AI Under Governance
- Evaluation sets, versioned prompts, human approval gates and a full audit trail, with no lock-in to one model provider.
01
Discovery
We map your systems, constraints and goals, and agree what success looks like.
02
Pilot
A small, real slice in production-like conditions, so decisions rest on evidence.
03
Scale
We roll it out across teams and systems with the same review gates throughout.
04
Run
Support, monitoring and a handover that leaves your people able to own it.
Planning an Enterprise Roadmap? Talk to a Senior Engineer.
Request a Technical Discovery03 — Security & compliance
Pass the Security Review. Then Pass the Audit.
For most enterprise buyers, security decides the deal. SOC-2, HIPAA and FedRAMP are the questions on every questionnaire, and the answer is easier to give when the controls are built into the software from the start. We do that, and we get you ready for the people who check.
- SOC-2
SOC-2 Readiness
The report your enterprise customers ask for before they sign. We build the controls into your product and pipeline, then get you ready for the audit.
- Map your systems to the Trust Services Criteria
- Access reviews, change management and logging in the pipeline
- Policies, evidence and vendor reviews, kept current
- Type I first, then the observation window for Type II
- HIPAA
HIPAA Readiness
Software that handles protected health information has to be built differently from the first commit. We make it that way, and show your compliance team how.
- PHI data flows mapped, minimized and encrypted end to end
- Role-based access, audit trails and session controls
- Business Associate Agreements with every vendor in the path
- Breach response, backup and retention procedures
- FedRAMP
FedRAMP Readiness
Selling cloud software to the US government means a long, exacting road. We shorten the preparation: the engineering, the documentation and the evidence.
- Control mapping against NIST SP 800-53 baselines
- Authorization boundary, architecture and data-flow diagrams
- FIPS-validated cryptography, hardening and continuous monitoring
- System security plan and support for your assessor
How we get you ready
A Plan, Then the Work, Then the Evidence.
- 01
Gap Assessment
We review your systems, data and policies against the framework, and hand you a plain list of what is missing, ranked by risk and effort.
- 02
Build the Controls
Engineers close the gaps in code and infrastructure: access, encryption, logging, backups, change control, and the automation that keeps them true.
- 03
Evidence and Documentation
Policies, diagrams and the proof an auditor asks for, collected automatically from the systems themselves instead of assembled in a panic.
- 04
Audit Support
We prepare your team, answer the technical questions and work with your auditor or assessor through the process.
Security for AI systems
The Same Controls, for the Agents Too.
-
Custom MCP Servers, Locked Down
Tools exposed to AI agents with scoped credentials, least-privilege permissions and every call logged.
-
Your Data Stays Inside the Line
Retrieval respects the permissions of the person asking. Sensitive fields are redacted before they reach any model.
-
People Approve What Matters
Anything that writes, spends or deletes waits for a human to approve it, with the reasoning shown.
-
Defended Against Prompt Injection
Untrusted content is isolated from instructions, outputs are validated and agents run with no more access than the task needs.
-
Evaluated, Versioned, Auditable
Prompts, models and tools are versioned, tested on every change and traceable, with no lock-in to one model provider.
We help you prepare. Reports, attestations and authorizations are issued by independent auditors and authorized assessors, not by Dolox.
Talk to a Senior Engineer About Compliance04 — Capabilities
Everything Between an Idea and a System in Production.
One firm for the whole stack: the models, the platform underneath them, the products on top, and the design that holds it together.
- fig. 0101
AI & Machine Learning
Language models put to work inside real products: retrieval over your own data, agents that take actions, and the evaluation, guardrails and human review that make them dependable.
- LLM integration & orchestration
- Custom MCP servers & tool integrations
- Agents with a human in the loop
- Evaluation, safety & observability
- fig. 0202
Platform & Cloud Engineering
APIs, queues, caches and search that stay fast under load. Built to scale from day one, even if the first million users are still to come.
- Node.js services & APIs
- AWS, Google Cloud & Azure
- Kubernetes, Vercel & CI/CD
- Grafana, Datadog & on-call readiness
- fig. 0303
Product Design
Interfaces, UI kits and design systems that engineers can build and users can read.
- UX research & flows
- Design systems & UI kits
- Prototyping
- fig. 0404
Mobile & Desktop
Native and cross-platform applications for iOS, Android, macOS, Windows and Unix.
- iOS & Android
- macOS, Windows, BSD/Unix
- Cross-browser web
- fig. 0505
Data & Search
Storage, indexing and analytics: know what your users do, where they go and where they come from.
- Databricks & Snowflake
- MongoDB, PostgreSQL, Elasticsearch
- Pipelines, tracking & analytics
- fig. 0606
Security, Reliability & Scale
Access control, audit trails and observability from day one. We also take over, stabilize and modernize inherited codebases, and keep them running, with clean, semantic code that follows the practices that matter.
- SOC-2, HIPAA & FedRAMP Readiness
- Security reviews & access control
- Rescues & audits
- Performance & scaling
05 — Process
A Disciplined Path from Brief to Release, with a Person at Every Gate.
Four phases, each with a clear output. At every one, agents do the work and a senior engineer holds the gate. You see working software from the second week, not the last.
-
Phase 01
Specification
Let's start by discussing your idea and laying out everything that needs to be done: scope, architecture, risks and a plan.
Read your documents, tickets and code. Surface risks, gaps and unknowns before anyone writes a line.
Talks with you, defines scope and architecture, and decides what "done" means.
// what we hear
- “I need to sell products online.”
- “I have a website but it's broken.”
- “I honestly don't know where to start.”
-
Phase 02
Drafting
Designs and working prototypes, early and often. Are we heading in the right direction? What do you like? What do you dislike?
Generate designs and working prototypes in hours, and as many variations as you want to see.
Directs the work, rejects what is not right and keeps the whole design coherent.
// what we hear
- “I'm not a fan of those colors.”
- “Can we change the text at the top?”
- “Can we move that to the bottom?”
-
Phase 03
Testing
We test the product end to end and tweak the interface until it's ready: nothing ships that we haven't tried to break.
Write and run unit, integration and end-to-end tests, and probe for failures around the clock.
Reads the results, breaks what the agents missed, and signs off only when it holds.
// what we hear
- “I clicked but nothing happened.”
- “How come that didn't save?”
- “I'm lost. How do I...”
-
Phase 04
Shipping
We've made it through testing: we put the product online, watch it closely and collect feedback for the next iteration.
Prepare the release, the migrations and the monitoring, and watch the dashboards.
Approves the release, watches production and owns the call to roll back.
// what we hear
- “It looks good to me!”
- “Wow, this is really beautiful!”
- “I think we're done! Are we ready?”
06 — Engineering
Built Like Infrastructure, Not a Demo.
The reference shape of the enterprise systems we ship: clients at the edge, typed services in the middle, data and models underneath, all of it observable. And one rule for how it gets there: no change ships without a senior engineer's signature.
ship.ts
// agents do the work; a person decides
export async function ship(task: Task) {
let change = await agent.propose(task, { repo, tests });
while (!(checks = await evaluate(change)).ok) {
change = await agent.revise(change, checks);
}
const review = await requestReview(change, {
owner: 'senior-engineer',
mustApprove: true,
});
return review.approved ? release(change) : reviseWith(review.comments);
}▍ tests 318 / 318 signed off by a senior engineer
-
Readable by the Next Engineer
Clean, semantic code that follows the practices that matter, documented where it counts. Nothing clever for its own sake.
-
Tested Before It Is Trusted
Unit, integration and end-to-end suites in CI, and evaluation sets for everything a model produces.
-
Observable in Production
Logs, traces and metrics from the first deploy: when something degrades, we know before your users do.
07 — The firm
A Senior Team You Can Call, with 20+ Years Behind It.
Dolox is an enterprise software and AI engineering firm. Senior engineers lead every project, and AI agents extend what they can deliver, so you get enterprise-grade work without building a team of your own. Get in contact at any time, with no obligation.
Dolox started in January 2004 as a software design and development company, and enterprise work has been the through-line ever since: platforms that connect what already runs the business, products that carry real traffic, and the engineering discipline to keep both standing.
Today the same senior engineers lead the work, with AI agents extending what each of them can deliver. Clients get one accountable team, plain-language communication and a price that reflects the leverage rather than the headcount. When something needs a decision, a person makes it.
01
Senior-Led, Start to Finish
Every project is led and reviewed by a senior engineer, not handed to whoever is free. You know who is accountable.
02
Costs Less Than a Team of Your Own
A lean senior team plus AI agents replaces the hiring, the ramp-up and the overhead of building in-house.
03
Built for the Security Review
Engineered with SOC-2, HIPAA and FedRAMP Readiness in mind, so compliance is not a rewrite later.
- A named senior engineer on every project
- Working software shown early and often
- Plain-language updates, no jargon walls
- You own the code, the data and the keys
08 — Contact
Tell Us What You're Building. No Obligation.
Drop us a line or just say hello. Enterprise teams can ask for a technical discovery session. A senior engineer reads every message, not a bot.