Context Engineering Series
Every major tech platform is racing to own your enterprise context—because that’s where AI becomes most valuable. While AI copilots promise speed, in healthcare analytics, speed *without* context creates risk. Momenta automatically turns your query history into structured, machine-readable context—the very infrastructure AI needs to reason safely and accurately.
Right now, a silent war is being fought between the world's largest tech companies to become the essential **holder of your context**. That’s because **context is the new infrastructure.** The true value of AI is unlocked not by superior models, but by **superior knowledge of your world**.
Salesforce / Slack
Thinks Slack knows everything about your work.
Google / Workspace
Believes Gmail and Docs hold the core business context.
Microsoft
Probably *does* know everything already across the enterprise stack.
ChatGPT
You stay because it remembers your unique world.
Want to dive deeper into the trend?
Lex Fridman – Context Engineering and the Future of AI
Watch the episode on YouTube (Hkdi-zXMZGo)In analytics, that same shift is happening. Everyone wants copilots that move at the speed of thought — SQL written in seconds, insights on demand. Tools like Databricks Genie and Snowflake Cortex have nailed the *speed* part.
In healthcare analytics, **speed without context isn’t intelligence — it’s liability.**
That gap between generalized AI knowledge and your organization’s analytical reality is the **context layer** Momenta is building.
The precision behind Netflix’s recommendations wasn’t magic—it was people. Netflix hired **hundreds of expert taggers** who spent hours on a single film, labeling it with micro-descriptors like *“bittersweet coming-of-age drama with a strong female lead.”*
The AI copilots flooding the analytics market are quietly asking your analysts to do the same—to become **human taggers** for your data. They expect every column, join, metric, and rule to be manually labeled, cataloged, and kept up to date.
That’s not automation. That’s Metadata Debt disguised as progress.
Tools like Genie and Cortex perform beautifully when metadata is perfectly structured. They assume your environment already looks like Netflix’s library. But Netflix achieved that through armies of specialized humans—something healthcare analytics teams will **never** have.
Expecting analysts to retroactively tag years of SQL logic is like asking a handful of clinicians to **manually transcribe and classify thousands of handwritten patient files.** That’s the critical failure point.
You don’t need another tool that *uses* context. You need one that **creates it automatically** from the work your analysts already do.
This isn’t a tooling problem; it’s an **infrastructure problem.** We don’t need humans to document faster—we need systems that **capture context as it happens.**
The next generation of enterprise AI won’t be defined by better prompts—it’ll be defined by better **context infrastructure.** Treating context as data means giving AI the same thing your analysts rely on: a living map of how knowledge is created, connected, and reused.
Momenta reconstructs and tags **sequences of queries**, teaching copilots **reasoning patterns** instead of isolated examples for core metrics like readmission rates.
Captures each query's meaning (Domain, Metric, Assumptions, Dependencies). Copilots apply **verified, versioned logic**, not improvisation.
Enforces **PHI-safe joins** and versioned logic automatically, creating guardrails the copilot can see but can't break.
This isn’t just a productivity upgrade. It’s **a competitive edge and a regulatory safeguard.**
Your organization already holds a massive, untapped asset: the analytical history inside your SQL logs. Momenta turns that raw history into structured, machine-readable knowledge—the foundation copilots need to operate with context, not assumption.
The time to build **Context as Infrastructure** isn’t *after* AI deployment—
it’s the prerequisite for trusted, enterprise-grade copilots.
Download our white paper to learn the five types of context every AI copilot needs to reason safely and accurately.