AI-Enabled Engineering
From infrastructure through deployment and iteration, one team handles the full LLM production lifecycle. AI agents handle scaffolding, testing, and documentation under senior review — so your system reaches production faster.
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LLMOps Consulting Services.
Crunch-IS delivers LLMOps consulting services that move models into production and keep them performing — built by an AI-enabled engineering team that ships the monitoring, pipelines, and guardrails around your models faster and with fewer defects.
Benefits of LLMOps Consulting Services
01
Faster Time to Production Value
LLMOps services that absorb the operational complexity mean your team spends less time untangling infrastructure and more time building the features the business cares about.
02
A Production-Ready LLM System
You get a deployment that is monitored, versioned, and optimized to keep performing as your data, user base, and requirements change.
03
Lower Cost Per Inference
Through caching, model selection, batching, and infrastructure right-sizing, we reduce the cost of running models in production without sacrificing the response quality your users depend on.
04
Decisions Backed by Real Model Data
Without observability, no one can say with certainty how a model is actually performing. We provide the measurement layer — covering quality, latency, failure rates, and usage — so your team can act on what the data shows.
See Where Your LLM Stack Stands Today
Book a Readiness AssessmentLLMOps Services We Offer
01 LLMOps Readiness Assessment
We start with where your AI infrastructure stands today. We identify what holds up, what is missing, and what needs to change before a production LLM can perform reliably at scale. You leave the assessment with a prioritized roadmap rather than a generic maturity grade.
02 Model Monitoring and Observability
We instrument your deployed models to catch output drift, latency spikes, and unexpected behavior before they reach end users. Response quality, failure rates, and usage patterns become measurable across every deployment, so a degrading model surfaces in a dashboard rather than in a support queue.
03 Prompt Engineering and Management
Prompts need versioning, testing, and governance just like code does. We build the workflows that keep your prompt library organized and auditable, and we tie every change to evaluation data so improvements are measured, not assumed.
04 CI/CD for LLM Pipelines
Pushing a model update should not require a half-day of manual coordination. We build deployment pipelines designed around LLM workflows, so changes reach production reliably and the team responsible knows exactly what shipped and when.
05 Cost Optimization and Inference Efficiency
Teams running LLMs at scale often find their bills growing faster than their value. We identify the gap — model selection, infrastructure sizing, or missing caching — and close it without sacrificing the response quality your workflows depend on.
Our Capabilities
RAG Architecture and Optimization
We design and optimize retrieval-augmented generation systems that ground model outputs in your organization’s data. Done correctly, RAG measurably reduces hallucinations and makes responses more relevant to real business use cases, with every response traceable to a verified source.
Fine-Tuning Pipeline Development
We build fine-tuning pipelines that adapt foundation models to your domain and pair them with evaluation frameworks that confirm performance has improved before anything touches production.
Multi-Model and Multi-Provider Routing
We architect systems that work across model providers and can swap or combine models on cost, latency, and task requirements — so you are never locked into a single vendor’s roadmap or pricing.
Evaluation and Test Frameworks
We build evaluation harnesses that score model and prompt changes against defined benchmarks, so every release decision is based on data rather than impressions.
Security and Compliance Engineering
We build LLM systems with data privacy, access control, and auditability treated as requirements from the first architecture conversation.
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What You Get
01
One Team Across the Full Stack
From infrastructure and model serving through prompt management and evaluation, the full LLMOps surface area sits with one team — no specialists in silos who have never spoken to each other.
02
Embedded, Not At Arm's Length
We work alongside your engineers rather than as a separate external function. The people building your system understand your codebase and constraints, rather than working from a brief handed over at kickoff.
03
Delivery Without the Guesswork
We run short cycles, share progress regularly, and raise a problem early rather than at the next scheduled update. You always know where the work stands.
04
Knowledge Transferred, Not Withheld
Every engagement includes documentation and handover sessions, so your team can manage and evolve the system after we step back. Routine changes should never require a call to us.
Why Choose Crunch-IS as Your Partner
01
AI-Enabled Engineering
We don’t advise on AI from the outside — we deliver it from the inside. AI agents run across the SDLC, so the LLMOps systems we build for you are delivered faster and with fewer defects, and you inherit a delivery model you can adopt internally.
02
Production Experience, Not Slideware
We have shipped AI systems into production environments and handled operational problems that only emerge after launch. That experience — including a GPT-4-powered Angular-to-React migration run end-to-end in a live production environment — shapes every system we design.
03
One Lead, Full Accountability
The lead who scopes your system builds it and stays accountable after go-live. No handoffs between discovery, build, and post-launch, and no gap between what was agreed and what gets shipped.
What Our Clients Say About Us
They come up with lots of scalable and best-practice ideas that enable us to achieve what we have right now.
Nicky Senior Business Analyst at Softcat
Crunch-IS was great at leading us on what good should look like and bringing our ideas to life for evaluation and review.
Matthew Head of Digital Strategy at Softcat
Crunch-IS impressed me with is the quality of developers. It is simply much better than in any other company we’ve tried working with.
Klaus CEO at YouWe
We are impressed with their performance, how they are engaged with product development, and how they care about the product.
Sebastian Co-Founder & CTO at Accountflow
It’s been a very enjoyable experience. All has been fantastic about communicating, and working.
Marta Consultant at GIA Networks
Our partnership with Crunch-IS has been an invaluable resource as we’ve scaled.
Ryan CTO at WorkDove
What I found in Crunch-IS was the technical competency, ability to think outside the box, and very good English.
Garrett COO at Tabulate
They have a large impact on the whole architecture we ended up with. Overall, I’ve been pleased and impressed with everything Crunch-IS did for us.
Kenneth CTO at Zuar
Crunch-IS impressed us with their technical excellence and the sheer ‘meeting of minds and cultures’ and open, honest exchanges. This was not a decision we took lightly, and 5 months into the engagement we continue to be really impressed with how Crunch-IS approach the collaboration, and we’re delighted with the calibre of the team we have working with us.
Gary Managing Director at a UK Software Development company
Working with Crunch-IS was easy. They were patient with us as we worked through the contract questions and patient again as we were getting our billing set up. The design work was elegant and the developer delivered the app we had contracted for on time and good quality.
Scott VP of Software Engineering at Analytic Index
The team at Crunch-IS was very nice to work with. They worked diligently and were very professional. When questions or technical problems arose, they answered them quickly and were always ready and kind about helping us.
Miia Business Management at Conmark Systems
Crunch-IS developer helped us deliver an important feature for our project much faster than expected.
Rosario VP of Engineering at Profitap
Crunch-IS facilitated a seamless, collaborative effort throughout the project. The team maintained open lines of communication, kept detailed records of task assignments, and adhered to project timelines. Their expertise regarding both design and development sets the company apart.
Sisun CEO at Chintech
Crunch-IS provides ongoing development support that meets project requirements as needed. Despite their offshore location, they are easy to work with and accessible through communication channels
Bob CTO at Timegen
The best vendor we could possibly find. Crunch-IS blends practical development with innovative design principals. Internal and external feedback to app development has been positive. They complete project milestones by the planned schedule and deliver within budget. The team’s responsive and willing to engage in productive dialogue.
Jeff CEO at USA Software Company
Crunch-IS exceeded my expectations. I appreciated the developers’ resourcefulness in the face of constraints and complex requirements. The company able to deliver and complete the project successfully.
Kate Product manager at Mezonin
The project has gone smoothly so far. Crunch-IS has an exceptional work ethic. Consequentially, they’ve been able to tackle every challenge that comes their way. They manage day-to-day work on their own well but also communicate with us regularly to make sure we’re on the same page.
Andrew CMO at Qinetics
The app Crunch-IS worked on is clean, streamlined, and functions as intended. Crunch-IS goes above and beyond to ensure that both teams are in tune. The passionate team crafts an enjoyable experience through their positive demeanor and effective project management skills. The team was very friendly, and working with them was a pleasure.
Ian CEO at Biomicc
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LLMOps Consulting FAQ
What is LLMOps?
LLMOps is the practice of taking a language model and making it work reliably inside a real product — a website, chatbot, automation tool, or app — and keeping it performing after launch.
What is the difference between MLOps and LLMOps?
MLOps broadly covers operational practices for machine learning. LLMOps is a specialized subset focused on large language models, which bring their own challenges around prompt management, output safety, hallucination, and inference cost that traditional MLOps practices were not built to address. (See our MLOps Services for the broader ML lifecycle.)
What is the difference between LLMOps and AgentOps?
LLMOps focuses on the operational management of language models in production. AgentOps extends that to autonomous AI agents that take actions, use tools, and run across multi-step workflows, where observability and control become significantly harder to maintain.
How does LLMOps reduce the cost of running large language models?
LLM spend grows rapidly when nobody deliberately manages model selection, caching, or compute allocation. LLMOps services put the right controls in place, so you are not running an expensive model on a task a smaller one handles just as well.
Can LLMOps improve AI model fine-tuning and prompt engineering?
Yes. Structured prompt versioning, evaluation pipelines, and fine-tuning workflows built under proper LLMOps consulting services mean every change is tested and measured before it goes live, rather than adjusted manually and monitored loosely after the fact.
Your LLMOps setup starts here.
Talk through your idea with an engineer on a free assessment call.
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