DoneGrip
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Local AI consulting for companies moving fast
DoneGrip helps companies cut through the AI gold rush and build what matters: AI strategy, implementation, developer training, private AI infrastructure, RAG, MCP, local models, and AI QA testing.
Services
From AI pressure to a buildable plan
We help leadership and operations teams decide where AI belongs, which use cases are worth building, and how to turn AI urgency into controlled business workflows.
Hands-on training for software teams
We train developers to use AI coding tools, prompts, agents, code review workflows, test generation, and API patterns without lowering engineering standards.
More coverage without more manual drag
We use AI to turn requirements, tickets, releases, and product context into QA plans, regression checks, exploratory testing flows, and clearer defect reports.
On-prem AI, local models, MCP, and RAG
We help companies deploy private AI infrastructure: on-premises MCP servers, local and open-weight LLMs, model gateways, RAG, vector search, and secure tool access.
Process
We identify the workflows, support tasks, code paths, or QA bottlenecks where AI can create visible value without adding uncontrolled risk.
DoneGrip builds the first AI workflow, training lab, private AI environment, or QA loop around your stack, data boundaries, and review standards.
We tune prompts, checks, tests, access controls, and team habits so the system keeps improving after the first release.
AI QA testing and automation
DoneGrip helps software teams use AI to generate test plans, regression checks, exploratory flows, and defect summaries while keeping human review in the loop.
Bring one AI opportunity, training need, private infrastructure question, or QA bottleneck. We will map the first focused engagement and what it takes to ship it responsibly.
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