AI engineering + business improvement
Build it. Fix it. Optimize it. Improve how your business works.
We build custom AI applications, repair unreliable systems, and redesign inefficient business processes. From choosing the right models to getting more useful work from your GPUs, we connect the engineering to the business result.
Help me build or use AIA clear scope, an agreed price, and a practical next step.
Three ways we can help
Bring us an idea, a stalled implementation, or an expensive process. We help define the improvement and do the work to deliver it.
Develop AI applications, internal assistants, document pipelines, retrieval-augmented generation (RAG), and agent workflows connected to your data and business systems.
Examples: client intake, internal knowledge search, document analysis, and approved actions across your CRM or ERP.
Diagnose weak answers, broken integrations, slow inference, rising token costs, and unreliable automation. Improve retrieval, prompts, model routing, evaluation, and deployment.
Start with the failure: reproduce it, measure the cause, implement the fix, and check for regressions.
Map handoffs, queues, duplicate work, and control points. Redesign the workflow, automate useful steps, and retain human review where decisions need it.
Measure cycle time, exception rates, staff effort, and cost per completed task against the starting point.
Models · Applications · AI factories
From a hosted model API to a private GPU cluster, we tune the whole system around the workload and the result you need.
Compare hosted and open-weight models on your own tasks. Evaluate answer quality, context needs, latency, privacy, licensing, and cost. Decide where retrieval, fine-tuning, or routing between models is justified.
Representative evaluation sets · task-specific scoring · model routing · regression checks
Build APIs, data pipelines, RAG, and tool-using agents with access controls, source references, and human approvals. Add tracing, retries, validation, and failure handling so your team can see and resolve problems.
API integration · retrieval quality · observability · deployment & rollback
Profile GPU idle time, memory pressure, request queues, and data stalls. Tune batching, concurrency, KV-cache use, precision, and quantization where supported. Improve scheduling and workload placement across shared GPUs.
Tokens per second · time to first token · p95 latency · GPU memory & utilization
Trace bottlenecks across compute, storage, networking, and orchestration. Size capacity for inference, fine-tuning, and training workloads; improve data delivery, job scheduling, and resource allocation.
GPU clusters · containers · storage throughput · network fabric · capacity planning
We measure completed work, output quality, response time, and cost together. A busy GPU matters when it delivers the right result within your service targets.
Discuss a build, a bottleneck, or an optimization →From decision to delivery
We start with your process and your existing systems, establish a baseline, and agree what better looks like. Then we build, repair, or optimize the parts that stand in the way—from the user workflow to the model and infrastructure.
Explore private AI and infrastructure →Map the business process, profile the system, and agree the deliverables, baseline metrics, and acceptance checks.
Implement the solution, connect the approved systems, and test quality, reliability, and performance against representative work.
Compare results with the baseline. Document operation, monitoring, review steps, and ownership. Agree ongoing support separately.
Scope before spend
Implementation is scoped and quoted for the work involved. We agree the deliverables, fee, and acceptance criteria before you commit. Hardware, software subscriptions, and ongoing support are identified separately.
No finished AI strategy needed. If a simpler change would solve the problem, that belongs in the discussion too.
Let's make it practical
Tell us about your idea, the process that drags, or the AI system that is underperforming. We can help with a new build, hands-on troubleshooting, model selection, workflow redesign, or GPU and infrastructure optimization. Help getting started with existing AI tools is welcome too.
Prefer a conversation?
516-269-1517
sales@wirewalk.com
