Quote from a call
A sales call ends, so the quote is drafted before anyone opens a document.
SDEN deploys senior engineers into your stack to build the SDEN Engine: the data, signals, and agents that run the work. Then we hand you the keys.
Your first system live in 30 days, or your first month is free.
See how it works
We set the logic for what matters and run it with you until it is yours.and any tool with an API
Some companies need the foundation first.Others need operators in the work right now.SDEN can do both.
For scattered data, disconnected tools, and work that only happens because someone remembers to do it. In 90 days we build the foundation inside your own stack, then you own it.
For companies that need the work moving today. Our engineers plug into the Engine you already have and operate it, against a named transfer date rather than an open retainer.
Not sure which fits?Book a 30-minute call
Hiring another operator costs six figures a year before they are useful, and you still have no system underneath them. The Engine costs a fraction of that, and it does not resign.
Real events from the tools you already run, cleaned, scored, and routed. A person approves what matters and ignores the noise. The Engine is the layer in the middle.
We build inside your own tools, ship one working system in the first month, then add to it until the whole Engine is yours.
An SDEN engineer reviews every system before it touches production.
Documented, inside your stack, yours
An SDEN engineer reviews every system before it touches production.
No catalogue, no templates. We design around your operations and your live signals, then build the few that actually move your numbers. Three examples:
A sales call ends, so the quote is drafted before anyone opens a document.
A contract is signed, so billing starts without a handoff email.
A customer email arrives, so it is classified, drafted, and routed to an owner.
Take one or take all three. Every track runs inside your own stack, and every one ends with your team owning what we built.
Run one and it works. Run all three and they compound.
Each system you own makes the next one cheaper to build, because the data and the signals it needs are already there.
Signal-triggered outbound, run for you inside your stack. We turn a live event into a researched account, a sequence, and a call queue.
Outbound. Many signals in, we work the ones that matter.
Each of those adds a layer to manage. Every column below is honest about what it does. Only one leaves you owning the result.
Our own operations run on the Engine: autonomous loops driving the cockpit, email agents on real inboxes, and a knowledge base the system maintains itself.
In our own operations
The gains these systems are built for
Each figure below is the modelled outcome of a system we have built, taken from a case study we have published. They describe the engineering shape of real work, not a named client's audited result. We would rather show you a model we can explain than a number you cannot check.
Our case studies other than our own are illustrative anonymised composites. They model the engineering shape of real work, not a named client's measured result, and each one says so on its own page. The counts in our own block are ours and are verifiable in our public repositories.
Rather talk it through? Leave your email and grab a time. We will answer all of it live.
We work across the full AI journey: training your teams, auditing where agents are worth it, and designing, building, and running the AI agents, platforms, and apps that result, with the cloud and security underneath. Every engagement is scoped so your team can own and run what we build, rather than depend on us.
In four phases: scoping and architecture, design and prototyping, development and hardening, then delivery and support. You validate the direction on something concrete at every step, and we stay committed after the production release.
Both. We design products from a blank page, and we also take over, audit, and rebuild existing codebases, starting by laying down a sound architecture.
Systematic code review, automated tests, security built in from the design stage (encryption, access control, data isolation), and no technical debt left behind. Security isn't a step. It's an engineering discipline.
You do. The code produced during an engagement is entirely yours: repositories, documentation, and operational access are transferred on delivery.
Our own products. SDEN designs, builds, and operates its own SaaS products in production: Real Estate, Lead Manager, Beauty, and University Portal. The most direct demonstration of what we can build for our clients.
An agentic engineering partner designs, builds, and runs production AI agents (software that plans, uses tools, and completes multi-step work) plus the systems around them: evals, guardrails, monitoring, and fallbacks. SDEN owns the full stack (AI, software, security, cloud) under one senior team, takes agents through production, and hands you the code and the operational knowledge so your team runs them without us. A consultancy stops at advice; we ship and hand over.
Buy when an off-the-shelf tool already solves it and its data handling fits your constraints. Build in-house when the agent's logic is core to your product and you have senior engineers who have shipped agents before. Hire a partner when the agent is load-bearing, the cost of failure is high, and you want your team to own it afterward. Every SDEN engagement starts with that build-versus-buy call, and we will tell you to buy when buying is right.
The code lives in your repositories from the first commit, the IP transfer is in the contract, and every build ships with documentation, runbooks, and monitoring written for the next engineer on your team. We operate the agent jointly with your team through a support window so the knowledge transfers, then we step back. No black box, no dependency dressed up as a retainer.
By design first: agents work over grounded data (RAG) and explicit tool schemas, not free-form prompting. Then evals: every agent ships with a test harness that measures success before it goes live. Then runtime controls: guardrails on inputs and outputs, hard cost ceilings so a runaway loop cannot bankrupt the feature, and monitoring of quality, drift, and spend in production, not just uptime.
Our engineers work inside your environment rather than beside it: your repositories, your CI, your data, your on-call rotation, from day one. There is no parallel codebase that gets thrown over a wall at the end. It also means the engineer who scoped the project is the one writing it, and the one you can ask a direct question.
No, and the difference is what you are buying. Staff augmentation buys capacity against a backlog you own, billed by the hour, ending when you stop paying. Forward deployed engineering buys an outcome: we own the architecture while we are deployed, the scope is a production milestone rather than a backlog, and the engagement ends on a named transfer date. If a vendor calls itself forward deployed and cannot tell you that date, it is selling you staff augmentation.
Your team takes ownership of a system it can run without us: the code in your repositories, the evals running in your CI, the runbooks, the monitoring, and the on-call playbook. We work alongside your named engineer through the support window before that date, so the handover is the end of a process rather than an event. IP transfer is in the contract, not a promise.
SDEN is a small senior core. Every engineer on an engagement is senior, and typically two to four of them are full-time on it. When a project needs a discipline the core does not cover, we bring in a named specialist and tell you who and why before the work starts. There is no project manager between you and the engineers.
The build costs a fraction of one senior hire, and you keep it.
For owner-led companies that already know where the work is leaking.