A local-first foundation
Run your Golden Lake on your own infrastructure and use a supported local model for inference. Choose the deployment that fits your environment.
Your trusted knowledge assistant
Your knowledge.
With proof.
Meet MIKE. Put your approved documents to work with an assistant built around Golden Lake—and keep the sources, the context and the control in view.
Local-firstSource-ledHuman in control
A familiar face.
A different kind of assistant.Grounded in the knowledge you approve.
A different kind of assistant.Grounded in the knowledge you approve.
Good answers start with better boundaries.
Approved knowledge / Visible evidence / Your choice of AI01 The foundation
A Golden Lake.
Not a sea of guesses.
Give your team a defined collection of approved knowledge. MIKE retrieves from that collection, while preserving the identity of the material behind an answer.
Your documents, brought into focus.
Procedures. Specifications. Handbooks. Project records. Golden Lake brings authorized material into a searchable, versioned collection—so MIKE has a defined place to look.
- Keep document identity and source locations attached.
- Search the active collection rather than rely on model memory.
- Distinguish retrieved evidence from generated interpretation.
Golden Lake is the knowledge foundation. Your organization remains the authority on approval, meaning and decisions.
THE KNOWLEDGE YOU APPROVE
ProceduresSpecificationsTeam knowledge
Golden LakeAuthorized · Indexed · Traceable
MIKERetrieves context. Helps you make sense of it.
+ sources02 Privacy by choice
Your knowledge.
Your boundaries.
Your internal knowledge shouldn’t come with an automatic invitation to the cloud. MIKE is local-first, with explicit choices about the model and sources you use.
Discuss your deploymentA real local-only option
MIKE’s local-only configuration blocks cloud AI providers. Privacy should be an enforced setting, not an assumption.
Cloud is a deliberate choice
If you enable a hosted provider, prompts and retrieved context used for inference go to that provider. Choose it knowingly and review its data terms.
Control the knowledge boundary
Administrator policies govern permitted sources and knowledge modes. Keep document evidence distinguishable from general model knowledge.
03 Confidence needs a source
Don’t just read the answer.
Follow the evidence.
A fluent answer is a starting point. MIKE keeps source references and coverage limits visible, giving you a way to inspect what supports it.
Interactive illustration using fictional sample material. This is not a live MIKE session or a measured product result.
INSIDE A SOURCE-LED ANSWERIllustrative example
How often should this equipment be inspected?
The sample maintenance guide specifies an inspection every 90 days. [Source 1]
Inspect the supporting passage
SAMPLE MAINTENANCE GUIDE · PAGE 12
“Inspect each unit every 90 days. Record the inspection date and findings in the maintenance log.”Fictional passage for this website illustration.
Evidence gap
A 90-day inspection requirement does not establish a replacement schedule. Another source is needed.
Coverage: this passage, not the entire document
Source identityLocationCoverageVisible, not implied.
Less guesswork. More accountability. MIKE is designed to reduce unsupported answers through retrieval, source checks and visible uncertainty. No AI can guarantee zero hallucinations; a citation is a trail to inspect, not proof that every interpretation is correct.
Made for knowledge that matters
Less time looking.
More time understanding.
Engineering & technical teams
Locate the requirements, procedures and specifications behind the question.
Quality & governance teams
Keep source identity and evidence limits in view as you review an answer.
People joining the conversation
Find context in approved handbooks and team documents without knowing where to start.
04 A few good questions
Trust starts
with clarity.
What is Golden Lake?
Golden Lake is MIKE’s searchable collection of approved artifacts. It preserves document identity, generation information and source locations. It is a knowledge foundation—not a replacement for your organization’s approval processes or source systems.
Can we keep our knowledge local?
MIKE supports local infrastructure and local inference options. Its local-only setting blocks cloud AI providers. Your model, deployment and configuration matter; talk with us about the boundary your environment requires.
Does MIKE eliminate hallucinations?
No AI system can honestly promise zero hallucinations. MIKE’s approach is to retrieve approved evidence, preserve source references, check attribution and show coverage limitations. Those controls help you review an answer; they don’t replace human judgment or establish that every generated claim is supported.
Can we choose the AI model?
MIKE supports configured local and hosted providers. Model capability affects the quality and speed of an answer. Hosted inference is an explicit deployment choice, and local-only mode blocks it.
How do we see whether MIKE fits our team?
Contact sales@i-infusion.com. We can discuss your documents, privacy requirements, preferred deployment and the questions you need MIKE to help answer.
Meet your next trusted assistant
Your knowledge has value.
Let’s put it to work.
Tell us what your team needs to know—and what needs to stay private.
Talk to MIKE salesSTART THE CONVERSATIONsales@i-infusion.com