We send senior engineers into your private cloud to build AI agents that take over real work. Every system runs on formally verified state machines, owned entirely by you. Your data never leaves your network. Mathematically guaranteed.
A Forward Deployed Engineer embeds directly with the customer, writes production code, and stays until the outcome is real. OpenAI, Anthropic, and ServiceNow run the same playbook.
Kodense brings that model to enterprise AI agents. Our engineers sit inside your team, map real workflows, build agents on your systems, and operate them until the metric moves.
Production-ready AI agents built to run real workflows across Engineering, Operations, and Customer Support. We build them directly on your private cloud, connect them to your tools, and measure them against clear business results.
Senior systems engineers who work directly alongside your team full-time or part-time. They handle architecture, build custom pipelines, deploy the software, and train your staff, leaving your internal team stronger and self-sufficient.
A fast, honest assessment of where AI will pay back inside your business. You get a prioritised automation roadmap, build-vs-buy guidance, and the governance framework to make it safe.
Embedded in your environment. Focused on outcomes. From initial audit to production handover, with a predictable, high-trust delivery model.
We establish secure access, understand workflows, and align on baseline metrics with your team.
We configure secure, multi-agent runtime in your cloud or on-prem, with zero-egress policies.
We implement agent logic, connect to your systems and APIs, and design evaluation and guardrails.
We run the agent live, monitor performance, train your team, and handover runbooks.
We complete security review, documentation, and sign-off with your team.
We stay to review metrics, handle edge cases, and help you scale across more use cases.
Why enterprise teams choose embedded forward-deployed engineering over software licenses and advisory slide decks.
Our engineers work directly in your Slack, repositories, and ticket queues. Not a disconnected team in another building writing advice.
Every agent comes with automated evals, least-privilege permissions, audit logs, rollback triggers, and operational runbooks.
One named engineer. One agreed metric. Reviewed weekly against your measured baseline. Outcome-linked commercial options available.
Full source code, complete documentation, operational training, and an internal champion so your team can extend what we build without vendor lock-in.
Least-privilege credentials, human approval on financial or customer-facing actions, deployment in your private cloud, and zero model training on your data.
Our runtime decouples agent workflows from model weights, allowing you to seamlessly swap Claude, Gemini, GPT, or private open-weight models.
A direct breakdown of operational depth, code ownership, and accountability across delivery models.
CAPABILITIES COMPARISON See how different engagement models stack up. | Consultant Advice & slide decks | Solutions engineer Pre-built solutions | Contractor Short-term execution | FORWARD DEPLOYED |
|---|---|---|---|---|
01 Owns technical discovery & workflow mapping Understands your environment, people and goals. | Yes | Partly | No | Yes |
02 Writes production-grade software & integrations Ships real code, not just recommendations. | Rarely | No | Yes | Yes |
03 Deploys directly into your live environment & VPC Works inside your infrastructure, with your security. | No | Demo only | Sometimes | Yes |
04 Accountable for team adoption & business metrics Stays until outcomes are achieved. | No | No | No | Yes |
05 Stays after go-live through tuning & operation Continuous improvement, not a handoff. | No | No | If paid | Yes, by design |
06 Brings battle-tested cross-industry agent patterns Real-world experience, adapted to your use case. | Sometimes | Product-only | No | Yes |
Field notes, operational specifications, and real-world lessons from the engineers who deploy AI into production every day.
Why 90% of enterprise bots die in sandbox pilots, and how forward-deployed agents embed directly into legacy APIs, queues, and databases to take over end-to-end execution.
A framework for CTOs evaluating build vs buy trade-offs. Why SaaS products win on generic support, while custom forward-deployed agents win on complex operational exceptions.
Designing graduated autonomy across financial transactions, customer commitments, and code reviews: shadow mode → human sign-off → automated with audit trail.
The architects, operators, and engineers building Kodense
for a more open, intelligent future.
Building the next generation infrastructure for an agentic world.
A more open, intelligent future is possible, and we're here to build it.
Turning vision into execution across people, systems, and scale.
Execution compounds. Great teams make it inevitable.
Join a small, exceptional team building the future of AI infrastructure.
Talk directly with our engineers to scope your architecture and deployment timeline.
30 minutes with a senior Kodense engineer. You describe the workflow, we tell you whether an agent belongs there and what the first eight weeks look like.
A senior Forward Deployed Systems Engineer will review your workflow parameters and reach out within 4 business hours to lock in the 30-minute calendar slot.
