“After researching and qualifying several software development service options for the development of a cross-platform application, we fortunately selected Simform as our partner. This turned out to be a very good decision overall, as their performance has been outstanding. The complete engagement from the Simform staff is remarkable. Their team diligently assesses and executes in a very competent manner.”
Claude partner network
Bring engineering discipline to every Claude capability you ship
Most Claude projects reach a working prototype and stall there because nothing verifies the output, isolates customer data, or controls cost as volume climbs. Simform, a Preferred partner in the Claude Partner Network, builds the validation, governance, and integration layers around the model and ships the capability into production.
Talk to our Claude team
Build once on Claude and keep it accurate, affordable, and connected as usage grows
Claude lands differently in every business. For some, it becomes a feature customers touch every day; for others, a queue the operations team stops working through by hand; for others, the model pipeline engineering already maintains. Each one needs different engineering around the same API call.
Claude Readiness and Use-Case Roadmap
Commit engineering budget to the Claude use cases that will survive contact with production. Simform evaluates each candidate workload on the data it depends on, the stability of the workflow underneath it, and the governance your industry requires. The output is a sequenced roadmap where every phase carries its own business case, starting with one workload scoped tightly enough to fund now.
Use-case portfolio scored on business value, data readiness, and production feasibility
Governance and risk assessment covering data handling, guardrails, and human review points
Phased roadmap with entry criteria, cost projections, and success measures per phase
Claude Product Engineering
Ship AI capabilities your customers rely on without discovering the production requirements after launch. Simform designs the prompt architecture, the structured output contract, and the behavior your system falls back on when a response arrives malformed. That capability then goes into your application with multi-tenant isolation and per-call cost tracking already in place. Delivery runs through our agentic SDLC practice, where Claude Code supports implementation, review, and test automation under engineering ownership.
Prototype against a defined use case, extended into a production capability on the same architecture
Prompt architecture, structured output contracts, and retry behavior built for live traffic
Tenant isolation, guardrails, and cost instrumentation shipped with the first release
Claude Integration and Connector Engineering
Make Claude useful on day one by giving it access to the systems where your business data actually lives. Simform builds the connectors, plugins, and API integrations that link Claude to your ERP, CRM, data platforms, and internal systems. Each integration maps model output to the exact payload the receiving system expects, so results land in the tools your teams already work in without anyone re-keying them.
Custom MCP connectors and Cowork plugins for proprietary systems and internal data
API integration with output mapped to the payload structure each system requires
Orchestration and error handling for workloads that span several systems
Intelligent Process Automation with Claude
Take manual interpretation work out of the processes consuming the most hours across your operation. Simform redesigns the process end to end with Claude at the center, covering intake, interpretation, classification, and preparation of the downstream action. Where several business units run the same process on different rules, we build one shared orchestration layer and configure a skill for each unit. Every team gets output shaped to its own requirements while the platform stays maintainable as one system.
End-to-end process redesign with Claude as the workflow engine
Shared extraction and orchestration layer with skills configured per business line
Industry accelerator deployment where a pre-built solution fits the workflow
Migration and Consolidation onto Claude
Retire the custom-trained models and multi-stage pipelines that cost more to maintain with every new format, customer, or edge case. Simform starts by quantifying what your current stack costs to run and extend, which sets the baseline the rebuild has to beat. We then rebuild the capability on Claude and validate its output against the same rules your existing system enforces, so nothing moves across until the numbers hold.
Assessment of current pipeline cost, retraining burden, and accuracy baseline
Rebuild on Claude with parity validation against your existing test set
Deployment through the Claude API or Azure AI Foundry for estates that require it
Claude Operations and Cost Governance
Keep Claude accurate and affordable long after launch, when usage patterns shift and spend starts climbing without an owner. Simform runs your Claude workloads as a managed service with monitoring, alerting, and agreed service levels. Alongside that, we optimize consumption through model selection, caching, and rightsizing, and track adoption across the teams the capability was built for.
Managed operations with monitoring, alerting, and agreed service levels
Consumption optimization covering model selection, caching, and rightsizing
Rollout, enablement, and usage reporting across adopting teams
What enterprises are building with Claude through Simform
Claude depth proven in customer production, backed by enterprise engineering scale
Simform brings Claude engineering experience from live customer systems, Microsoft platform depth for enterprises that need Claude within an existing estate, and the delivery discipline of a product engineering organization.
Claude Partner Network standing
Preferred Partner status in the Claude Partner Network gives our engagements a direct line to Anthropic's team and joint registration on customer projects, with production deployments already live across education, real estate, sports technology, and testing and certification.
Claude inside the Microsoft estate
We deliver Claude through Azure AI Foundry for enterprises that need it inside their existing Azure environment, with Microsoft Solutions Partner status across Data and AI, Infrastructure, Security, and Digital and App Innovation behind the platform work.
Claude proven in our own delivery
Our engineers run Claude Code, Claude Design, and Claude Cowork on live client builds, which is how we know what these tools do to throughput and where a human decision still has to sit.
Enterprise-scale engineering expertise
1,200+ engineers across product, cloud, data, and platform engineering give Claude engagements the surrounding depth production systems require, with our co-engineering model keeping your team in every architectural decision so the system stays yours to operate.
Trusted by the World's Leading Companies
Sonny Cutwright, Operations Manager
Bon Appetit
“Simform rearchitected and modernized our subscription management & billing platform as part of the multi-phase development initiative. The team quickly understood our business requirements and delivered a modern, modular architecture aligned with our scaling needs. Without disrupting our operational workflows, Simform handled complex data migration with precision and supported our legacy modernization journey with seamless ERP integrations.”
Robel Yemane, Head of Engineering
Privilee
“Simform was an invaluable partner in our system modernization, moving beyond analysis to deliver true product engineering advisory. They analyzed complex legacy workflows into clear, validated, developer-ready user stories. The clarity and strategic consistency they introduced was foundational, directly influencing our cloud architecture and product design. Their work effectively accelerated our discovery phase and time to market.”
Director of Engineering
Datamark
“We partnered with Simform to centralize our preclinical research data. They understood technical data challenges and scientific workflows. They helped us build a platform for data ingestion, OCR-based extraction, standardization, analysis, and visualization. Our researchers can use natural language or a visual query builder to analyze complex datasets, while real-time charts and statistical outputs speed up discovery. We liked the ability of the team at Simform to combine strong data engineering capabilities with practical analytics experience.”
Data and Analytics Manager
Preclinical Research Analytics Platform
“The cloud migration was a great sucess. Very satisfactory, seamless and increased our productivity. The most impressive part about Simform is their dynamic and well-versed team. Anytime there was a concern, we were able to communicate and have it rectified immediately.”
President
Trusted Community Services Organization
“Simform led the discovery phase for our digital infrastructure overhaul, bringing a mix of deep technical expertise and a truly collaborative spirit. They took our complex requirements and turned them into a solid product blueprint and a clear, prioritized roadmap. Everything stayed on track thanks to their structured project management. The level of strategy and architecture they brought to the table gave us the certainty we needed to take the next steps.”
Department Manager
Eye Recommend
“Our overall experience with Simform was very positive. They worked as an end-to-end technology partner and integrated well with our engineering and operations teams. This was not just about building a mobile app; it also required careful thinking around data quality, workflows, and long-term system design. Simform brought a practical, product-minded approach and designed an Azure Data Factory pipeline to clean and organize data before it reached the app and admin dashboard.”
Marketing Manager
Patient-Facing Digital Application & Data Platform
“We’re very satisfied with Simform as our engineering partner. We wanted a platform to support the full lifecycle of our field inventory and ease operations for field reps, hospitals and analysts. They translated our complex requirements into an easy-to-use solution and handled development from UI/UX to backend and DevOps. The app works seamlessly across user groups and has a first-class, consistent and simple interface.”
Brad Spataro, Commercial Operations Manager
Evergen
Claude in production
Discover the many ways in which our clients have embraced the benefits of the Simform way of engineering.
Real estate marketing platform turns listing data into case studies in seconds with Claude
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Global Inspection Company Automates Order Processing for 9 Business Lines with Claude
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Sports technology company accelerates multi-tenant SaaS development with Claude
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Student Credit Platform Cuts Manual Transcript Entry by 99% with Claude
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FAQs
Anthropic provides the model and the platform. Most of the engineering work sits around it, covering integration with your systems of record, guardrails, tenant isolation, cost tracking, and the validation that catches a bad response before a user sees it. Preferred Partner status also means engagements are registered jointly with Anthropic, so your project stays visible to the model provider throughout.
Internal teams usually know the domain better than any partner will, so the gap is rarely knowledge. It shows up in the surrounding engineering, including how the system behaves when the model returns something unexpected, how cost scales with usage, and how the capability holds as customers and formats multiply. Our co-engineering model keeps your engineers on every architectural decision while we bring patterns already proven in production.
Yes. Claude models are available through Microsoft Foundry, and we deliver engagements that way for enterprises with existing Azure commitments. One global testing and certification company runs its order processing on Claude Sonnet through Azure AI Foundry, which kept the whole workload inside the environment their IT organization already governed
Engineering handles this, well before anyone has to trust the model. Domain rules live in the system prompt, placeholder values are prohibited so a missing field returns null, and every structured response is validated against a defined schema before it reaches your platform. On an education platform, this means each grade and credit on a student record traces back to a mark on the actual transcript.
Most begin with one workload carrying a measurable cost, such as a manual queue, a maintenance-heavy model pipeline, or a product capability your roadmap keeps deferring. We scope it, build it to production, and instrument it so you can see accuracy, latency, and cost per call from week one. Each engagement on this page started this way and expanded once the first system was running.
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Hiren Dhaduk
Creating a tech product roadmap and building scalable apps for your organization.
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