Clear answers for engineering leaders and teams evaluating Forward Deployed AI.

In standard frameworks, LLMs directly trigger tool executions and perform database writes based on probabilistic token predictions. In Kodense, language models are strictly constrained to generating structured candidate transition proposals. The actual execution is governed by a deterministic Finite State Machine (FSM) compiled in Rust.

Before any transition or write can commit, mathematical invariants (such as ISO 20022 balance equations, schema validity, or dual-custody approval tokens) must evaluate to true. If any invariant fails, the state transition is rejected in < 0.5ms with zero partial side effects.

You retain 100% ownership and custody of your encryption keys. All enclave memory pages, storage volumes, and database connection pools are encrypted using Customer-Managed Encryption Keys (CMEK) stored in your own AWS KMS, Azure Key Vault, or physical on-premises HSM appliance.

Kodense engineers hold zero decryption keys and have no ability to view or decrypt customer payloads under any circumstances.

Traditional consulting engagements typically deliver advisory reports, reference architectures, and proof-of-concept prototypes that your internal teams must then rebuild for production.

Kodense forward-deployed engineers are senior systems and distributed infrastructure engineers who write production Rust, C++, and eBPF code. They embed directly into your infrastructure repository for a fixed 30-day flight, deploy production-verified enclaves, and conduct complete knowledge transfers and runbook handovers to your internal engineering staff.

Kodense runs natively on AWS (including AWS GovCloud), Microsoft Azure (including Azure Government), Google Cloud Platform, and air-gapped on-premises Kubernetes or bare metal.

We provide pre-built, zero-egress connectors for PostgreSQL, Apache Kafka, Snowflake, ClickHouse, SAP S/4HANA (BAPI/RFC), and SWIFT/ISO 20022 banking settlement rails.

At the end of every engagement, we conduct a complete knowledge transfer and operational handover to your internal engineering staff. This includes production runbooks, monitoring dashboards, incident response playbooks, and full source code ownership.

Your team operates the system independently from day 31. There is zero ongoing vendor dependency. If you never speak to us again, the system keeps running exactly as delivered. For teams that want continued support, we offer optional follow-on retainer agreements.

Open-source agent frameworks like LangChain, CrewAI, or AutoGen are excellent prototyping tools, but they were not designed for production enterprise environments with strict data residency, auditability, and failure-safety requirements. They typically rely on external LLM API calls (sending your data outside your network), lack formal state verification (agents can hallucinate tool calls or enter infinite loops), and provide no hardware-level isolation guarantees.

Kodense provides the missing production layer: a compiled Rust runtime with mathematically enforced state transitions, deployment inside hardware-isolated enclaves, and zero external network access, backed by the engineering team to build and ship it.

A Forward Deployed AI Agent is scoped inside your workflow by an engineer who sat with your team, built on your data and systems, deployed into production where the work happens, and operated by the same team that built it.

It is not a chatbot. It is not a SaaS product you configure. It is a production system built for one job, measured on one metric, with a named human accountable for the outcome.

Products give you a platform and ask you to configure it. Kodense gives you an engineer who builds the agent inside your environment, connects it to your specific systems, and stays until it works.

You own everything we build: the code, the integrations, the evals, the runbooks. No ongoing licence fee, no vendor lock-in, and no dependency on our infrastructure to keep running.

Engineering, Operations, Sales, Support, and core business functions including Finance, HR, Legal and Procurement. If the workflow is repeatable and the outcome is measurable, we can scope an agent for it.

Most clients start with their highest-volume or most painful queue and expand from there.

Book a 30-minute discovery call. Describe the workflow that hurts most. If an agent belongs there, we show you what the first eight weeks look like and what it costs.

If an agent does not belong there, we tell you that too. Roughly a third of discovery calls end with us recommending a different approach.

Scoping sprints and pilots are fixed-price. Ongoing operate engagements are monthly retainers with a three-month minimum. Embedded FDE placements are priced per engineer per month.

We also offer outcome-linked pricing on operate engagements: a base fee plus a component tied to the metric we agreed on. If the agent underperforms, our fee goes down.