How ByteForge works
Governed delivery
Every engagement runs under a defined governance model: an executive sponsor, a named delivery lead, agreed success measures and scheduled steering reviews.
Architecture before any build
Every build follows a written architecture review of your systems, data and constraints, which fixes the design, scope and price before engineering begins.
Evaluation defined up front
Acceptance criteria are agreed before each capability is built and tested on every change, so reliability is shown with evidence.
Your environment, your ownership
Systems run inside your environment, under your accounts and security controls. The code, data and models are yours from the outset, and client data never trains a model.
Services
Systems that act, under your control
From strategy to production operations, we deliver the full lifecycle of enterprise AI, with every system governed by controls your organization defines.
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Agentic AI Systems
Agents that plan and execute multi-step work across enterprise systems, within the permissions and approval gates you define.
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LLM Development
Retrieval, structured output and model management, with evaluation that keeps behavior consistent across model versions.
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AI Consulting & Strategy
Opportunity assessment, vendor and model selection, and a phased roadmap tied to measurable returns.
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MLOps
Deployment pipelines, monitoring and continuous evaluation, documented for your teams to operate independently.
Approach
From first consultation to handover
Every engagement follows one delivery method. Each stage builds on the documented output of the stage before it.
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Consultation
We begin with a structured consultation on the objective, the systems and data involved, and the regulatory and security constraints that apply. You leave with an initial view of feasibility, an indicative commercial range and a recommended next step.
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Architecture review
The review examines the systems the solution must operate within and records the design in writing: responsibilities, permitted actions, approval gates, data flows and the evaluation criteria that will judge it. It concludes with a fixed scope and price, so your organization commits against a completed design.
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Evaluation-led build
Evaluation criteria precede the features they cover and run continuously against every change. Each capability must meet an agreed definition of correct behavior, and progress is reported to your sponsors against those results. Every action the system takes is traced from the first build onward.
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Deployment, observation, handover
We deploy into your environment under your security controls, then remain through the initial period of live operation, monitoring behavior under real conditions and resolving what evaluation did not anticipate. Handover concludes with complete operational documentation, and advisory and managed operations continue on retainer where required.
About
Built to the standards enterprises are held to.
ByteForge is an AI engineering firm serving large organizations across industries. We measure every engagement by how the system performs in production, long after handover.
- Delivery model
- Architecture review, build and handover
- Controls
- Audit trails and approval gates by default
- Ownership
- Client, from the first week
- Commercials
- Fixed scope and price after review
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Decisions in writing
Every proposal, design decision and evaluation set is recorded in documentation your organization retains. Commitments are approved in writing before they are made, and delivery proceeds against standards agreed at the outset.
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Control proportionate to consequence
An agent that reads data needs different controls from one that moves money or alters records. We place human approval gates according to what each action can cause, concentrating oversight where an error costs most.
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Present after release
Some failure conditions appear only under live traffic and real data. We treat release as a stage of the engagement, observe the system under those conditions, and resolve what they reveal before operational responsibility transfers to your teams.
Questions before the first conversation
What does agentic mean in practice?
In an agentic system the model chooses a course of action and performs it through permitted tools: reading from internal systems, calling services and completing tasks of several steps. Because the model acts on systems of record, the engineering concentrates on controlling each action it takes as much as on the quality of its output. The architecture review specifies those controls and the evaluation set tests them throughout the build.
Who does ByteForge work with?
We work with large enterprises and mid-sized organizations that need AI systems to operate reliably in production, including those in regulated industries. Engagements are typically sponsored by executives accountable for technology, operations or risk. They suit organizations with established infrastructure and standing obligations to customers and regulators.
How long does a first system take?
The systems the product must integrate with, and the size of the evaluation set the use case needs, govern the timeline. The architecture review establishes both, and generally takes one to two weeks. A first system then reaches production in about twelve weeks. Where the integration surface is large or the evaluation set must be extensive, the review says so and adjusts the timeline before the build is priced.
How is the work priced?
Architecture reviews and builds are fixed-price engagements, and the review confirms the build price at its close. Advisory and operations that continue beyond the build run on a retainer. We share indicative ranges for each type of engagement in the first conversation, so leadership can assess fit before committing to a review.
Who owns the code, models and data?
The client owns them from the first week of the engagement. Accounts with model providers and cloud vendors are opened in the client's name, and the code, data and infrastructure of the system sit within them. Because the client holds every account, continued involvement from ByteForge is at the client's discretion.
Which models and stack do you use?
ByteForge is model-agnostic. We work with hosted frontier models, or with self-hosted open-weight models, and select between them on measured performance against the evaluation set, data-residency requirements and workload cost. Every model is placed behind an interface built for substitution, so when pricing, performance or policy shifts, the provider or version can be replaced and validated against the same evaluation set.
Can you work in regulated environments?
Regulated environments are supported by design. A compliance or security team will ask where data resides, who approved each consequential action, and which data the model saw for each decision. The architecture review answers all three in writing before any build begins. Those answers rest on controls fixed in the design, from data residency to approval gates and audit trails, and on our commitment that no client data trains a model.
How does an engagement begin?
An engagement begins with a technical consultation. An account of the process the system would support, the systems it would touch and any constraints on data or approvals is sufficient preparation. On that call we discuss feasibility and share indicative ranges for a review and for any build that follows. Where warranted, the next step is a short, fixed-scope architecture review whose proposal states what it will examine and deliver.
Begin with a consultation.
Request a consultation, or send a brief outline of the initiative. Both lead to the same first conversation.