Agent-friendly library APIsRedesigning our public APIs so LLM agents can call them reliably — typed tool schemas, deterministic errors, and self-describing endpoints.
Progress64%
MCP
Tooling
DX
AI
ACTIVE
MCP server for .NETA Model Context Protocol server exposing eQuantic primitives as agent tools — query builders, mappers, and pipelines callable from any MCP client.
Progress78%
MCP
.NET
PERFORMANCE
ACTIVE
Sub-millisecond query plannerAn expression-tree caching layer that compiles and memoises LINQ plans, targeting sub-ms p99 on hot paths.
Progress41%
Linq
Perf
AI
BETA
AI proposal engineTurns a fuzzy brief into a scoped proposal — feature list, estimate, timeline — using our 17-year pattern library as grounding.
Progress88%
LLM
RAG
UI
RESEARCH
Edge-rendered eQuantic.UIRunning C#-authored components on edge runtimes (workers, Deno) with streaming SSR and zero cold-start.
Progress22%
UI
Edge
SSR
DATA
RESEARCH
Self-healing pipelinesPipelines that detect schema drift and contract breaks, then propose and apply migrations under human review.
Progress15%
Data
Pipeline
AI
ACTIVE
Agent-friendly library APIsRedesigning our public APIs so LLM agents can call them reliably — typed tool schemas, deterministic errors, and self-describing endpoints.
Progress64%
MCP
Tooling
DX
AI
ACTIVE
MCP server for .NETA Model Context Protocol server exposing eQuantic primitives as agent tools — query builders, mappers, and pipelines callable from any MCP client.
Progress78%
MCP
.NET
PERFORMANCE
ACTIVE
Sub-millisecond query plannerAn expression-tree caching layer that compiles and memoises LINQ plans, targeting sub-ms p99 on hot paths.
Progress41%
Linq
Perf
AI
BETA
AI proposal engineTurns a fuzzy brief into a scoped proposal — feature list, estimate, timeline — using our 17-year pattern library as grounding.
Progress88%
LLM
RAG
UI
RESEARCH
Edge-rendered eQuantic.UIRunning C#-authored components on edge runtimes (workers, Deno) with streaming SSR and zero cold-start.
Progress22%
UI
Edge
SSR
DATA
RESEARCH
Self-healing pipelinesPipelines that detect schema drift and contract breaks, then propose and apply migrations under human review.
Progress15%
Data
Pipeline
AI
ACTIVE
Agent-friendly library APIsRedesigning our public APIs so LLM agents can call them reliably — typed tool schemas, deterministic errors, and self-describing endpoints.
Progress64%
MCP
Tooling
DX
AI
ACTIVE
MCP server for .NETA Model Context Protocol server exposing eQuantic primitives as agent tools — query builders, mappers, and pipelines callable from any MCP client.
Progress78%
MCP
.NET
PERFORMANCE
ACTIVE
Sub-millisecond query plannerAn expression-tree caching layer that compiles and memoises LINQ plans, targeting sub-ms p99 on hot paths.
Progress41%
Linq
Perf
AI
BETA
AI proposal engineTurns a fuzzy brief into a scoped proposal — feature list, estimate, timeline — using our 17-year pattern library as grounding.
Progress88%
LLM
RAG
UI
RESEARCH
Edge-rendered eQuantic.UIRunning C#-authored components on edge runtimes (workers, Deno) with streaming SSR and zero cold-start.
Progress22%
UI
Edge
SSR
DATA
RESEARCH
Self-healing pipelinesPipelines that detect schema drift and contract breaks, then propose and apply migrations under human review.
Progress15%
Data
Pipeline
THE RULESThree the programme keeps
Ship one a quarterEvery quarter, one experiment graduates to a product or library.
Public from day onePrototypes go public early — feedback beats secrecy.
Grounded in real workExperiments come from client problems, not hype cycles.
Ship one a quarterEvery quarter, one experiment graduates to a product or library.
Public from day onePrototypes go public early — feedback beats secrecy.
Grounded in real workExperiments come from client problems, not hype cycles.
Ship one a quarterEvery quarter, one experiment graduates to a product or library.
Public from day onePrototypes go public early — feedback beats secrecy.
Grounded in real workExperiments come from client problems, not hype cycles.
Watch them graduate
What ships ends up on NuGet or inside a product. The research notes are public either way.