Tellius × Snowflake Technology Partner

Tellius × Snowflake

Turn Snowflake data into finished, deterministic work.

Q: Does my data leave Snowflake?

No. Tellius runs in-perimeter — it reads governed data, reasons on Snowflake's own AI, and writes results back, all inside your account. Because the data never moves, the AI-governance and security review is typically shorter.

Q: How does Tellius use Snowflake Cortex and Semantic Views?

Tellius consumes Semantic Views as the shared meaning layer rather than rebuilding them, and reasons on Cortex models inside your perimeter on committed Snowflake spend. It builds semantics where none exist and respects the ones you already govern in Horizon.

Q: What does "deterministic" actually mean here?

It means the same defensible answer every time the workflow runs on the same data. Tellius gets there by validating the data before it computes (null, join-key, cardinality, double-counting, fan/chasm-trap checks and more) and by locking the workflow specification through Missions before execution — so there's nothing left for a model to reinterpret at runtime.

Q: Can we buy Tellius through Snowflake?

Yes — Tellius is available through the Snowflake Marketplace, so a purchase can draw down existing committed spend and collapse procurement from months to weeks.

Tellius brings agentic domain depth to Snowflake's data, AI models, governance so you get finished, deterministic, analytically sound work + actions — across pharma commercial, CPG, FP&A, and RevOps.

Book a demo See how it works →

Welcome to Tellius. This is where you get from a question to finished work in minutes. Start by connecting your data. Point Tellius at Snowflake, and it reads the warehouse itself. It identifies the tables, profiles the columns, infers the keys, works out the joins, and hands you a data model plan built around the questions your team actually asks for the way your business is actually organized. Every relationship laid out end to end, the same model as YAML, so your data team can review it like code. Then nine validation checks before anything gets published. Nulls in join keys, cardinality, fan traps, chasm traps, double counting. Nine checks pass, and the business view is live. That's the domain reasoning engine at work. Deterministic math, preloaded with the vocabulary and the KPIs of your industry. Now go to Kaya and ask a real question, the kind you'd normally hand an analyst and wait a week for. Bring the unstructured with it, payer contracts, Gong transcripts. The reason a number moved is rarely in the tables. Kaya detects the right business view and pulls the related documents, your vocabulary, your hierarchies, your payers. Encoded, not prompted. It plans, then it runs SQL against the model, Python for the decomposition, steps that read the contracts and the transcripts. Open any step, the query, the method, the intermediate result. When your VP asks how it got there, you can show them. And what comes back isn't a chart. The variance, decomposed. The root cause, traced to a date. A recovery model. And the judgment underneath. The biggest driver isn't always the biggest opportunity. Kaya holds context across turns, and corrections persist for whoever asks next. Any answer becomes a mission, an app, or an export. A mission isn't a report. A report resends numbers you've already seen. A mission reruns the investigation, finds what changed, and delivers the brief without you asking. Kaya generates the plan in conversation. Review it as an outline, as a diagram, or as a summary of exactly what we'll execute. Set the cadence. Pick the channel, email, Slack, or Teams. Pick the artifact, PowerPoint, PDF, or Word. Load your corporate template into the artifact generator once, and everything Kaya produces from then on comes out on brand. Monday morning, the finished brief is in the channel, leading with what changed. Open the deck. Your template, executive summary, the variance bridge, the district table, the ranked actions, or turn it into an app. The whole analysis at your team's fingertips. No chart building, no data model. Fully interactive. Move a slider and the recovery model recalculates live. Tap a district and it tells you the root cause. On live data, refreshed on demand. The work arrives finished. Tellius, named a visionary in the Gartner Magic Quadrant five consecutive years running and running inside eight of the top ten pharma companies. An AI worker for every commercial team, contact sales today.

Trusted by the world’s most innovative teams

Finished work in action

Ask "why". Get back finished work.

Kaiya plans a Mission, runs it on your Snowflake data, and returns the brief — ranked drivers, recommended actions, lineage, written back to the warehouse. Same method, every vertical.

Why did NBRx decline 15% in the Northeast?

Mission · auto-planned · 6 steps

Iteration 1

Data agent · dedupe & align lagged IQVIA, MMIT & Veeva feeds✓
Semantic layer · resolve NBRx, decile & region definitions✓
SQL · decompose the drop: region → payer → prescriber decile✓
Python · rank drivers; quantify each in NBRx points✓
Validation · re-run on the locked spec; trace every number to source✓
Synthesis · draft the brief; push next-best actions to Veeva✓

NBRx −12% · Northeast · QTD

PA rejections−3.1 pts

Copay expiry−2.2 pts

Competitor launch−1.4 pts

PA rejections — a top commercial plan moved the brand to non-preferred mid-quarter
Copay expiry — the support card lapsed for ~40% of commercial scripts
Competitor launch — a new entrant took early share across three key territories

Monday_Regional_Brief.pptx

Data sources IQVIA MMIT Veeva CRM

Better together

Snowflake is the foundation. Tellius agents build work on top.

Snowflake unifies/governs the data + AI. Tellius is the intelligence layer on top — knows your business, investigates the why, and ships finished work.

Snowflake

Governed, AI-ready data cloud

Unified, governed data — IQVIA, Veeva, claims, payer, CRM, syndicated, all in one place
Native AI — Cortex models in your perimeter
Governance — Horizon, RBAC/RLS, lineage, audit
Open semantics — Semantic Views as the shared meaning layer

Tellius

Domain reasoning, finished agentic work

Domain — AI agents act like seasoned pharma/CPG/finance analysts
Deterministic — repeatable, defensible answers every run
Delivery — finished briefs, decks, and actions — not just chats
Open — portable reasoning, callable from any agent via MCP

Snowflake brings the data, AI models, governance, and the agentic control plane together for the enterprise. Tellius adds the domain depth that turns all of it into finished, deterministic work — diagnostic when you need the why, deterministic when the work repeats, delivered as finished work and action.

Why Tellius

Vertical depth to Snowflake's horizontal scale

General-purpose agents give generic answers. Dashboards get stale. Tellius speaks your business language out of the box.

Domain

It already knows your business

Purpose-built for pharma commercial, CPG, and finance — it knows TRx and NBRx, formulary access, category share, and GL structure, and it works the way your best analysts do. No prompt-engineering the business. The context and memory compound with every Mission, so it gets sharper the more it runs.

Speaks your business — out of the box

TRx / NBRxformulary accessprescriber decilecategory shareTDP / ACVGL structureplan vs. actuals

Context + memory compound every Mission

Delivery

Finished work, not prompts

The unit of output is a completed brief, deck, or recommended action — generated and written back, not a chatbot turn that suggests and waits. Triggered from CoWork, Slack, the field app, email, or a schedule; the work arrives done.

Monday_Regional_Brief.pptx

Delivered where the team already works

CoWorkSlackField appEmailSchedule

Deterministic

The same defensible answer, every single run

Ask a general-purpose agent why a number moved and you'll get a different story each time — it reinterprets the gaps in your request on every pass. Tellius computes the answer instead of narrating it, on two layers of rigor.

Why AI workflows drift — and how to make them deterministic →

Data & analytics validation before it reasons

Tellius checks the data before it computes anything — so the inputs aren't quietly wrong.

null analysistype compatibilityjoin-key compatibilitycardinalityprimary-key uniquenessrow-count integrityjoin-explosiondouble-countingfan & chasm traps

Consistency via Missions + Skills when it runs

Describe the workflow in plain language; Tellius confirms its interpretation, locks the specification, then runs it on a deterministic engine — identical every pass, with lineage on every number.

describe→confirm→lock→run

Open

Open across your ecosystem

Tellius consumes open semantics (Semantic Views, Horizon, dbt), is callable from any agent via MCP or API, and brings hundreds of connectors and syndicated feeds to put more data behind your Snowflake decision. Your reasoning is portable — encoded once.

Semantic Views · Horizon · dbt

↓ consumes open semantics

Tellius reasoning encoded once

↑ callable via MCP / API

Cortex · CoWork · any agent

No data movement Governance inherited (RBAC/RLS) Warehouse-scale performance Audit-ready lineage Snowflake Marketplace billing

Computed, not narrated

Trusted Domain-specific Insights

Numbers must survive re-runs and audits to be trustworthy. Ask the same thing 5 times differently, get one trusted answer.

Before Tellius

Generalist AI agents narrate a plausible cause

Estimates the number — "payer access, roughly 12 of 15 points" — without ever computing it.
Skips the messy-data work — duplicates, restated history, lagged feeds — so the inputs are quietly wrong.
Gives a different answer each run — nothing to take to the retailer, payer, or board.
No lineage when compliance or audit asks how the number was produced.

With Tellius

Computes the defensible one

Reconciles and validates sources first — dedupes, aligns lags, checks joins across IQVIA, MMIT, and more.
Runs the full driver search with statistics and machine learning — not just SQL — across every factor at once.
Computes the bridge: the formulary shift accounts for 11 of 15 points. Calculated, not guessed.
Same answer every run, with lineage attached and the recommended action included.

A semantic layer gives AI agents your vocabulary.
Tellius gives them your judgment.

How it works

Tellius runs inside Snowflake

Tellius reads governed data, leverages Snowflake's own AI inside your perimeter, and writes every decision back. You get finished work.

01Read

Governed data & semantics

Reads the warehouse and consumes Horizon and Semantic Views as the shared meaning layer — building semantics where none exist.

02Run

On Snowflake's own AI

Reasons on native AI like Cortex inside the customer's perimeter, on committed Snowflake spend.

03Serve

Callable from your agents

Tellius is an MCP server and optionally a full UI. Cortex and CoWork agents call it for the hard part and get back the why, the recommended action, and the lineage.

04Record

Decisions written back

Every decision lands in the warehouse as a governed, auditable record — then fans out to Veeva, planning tools, Slack, and email.

05Govern

Security posture inherited

Row-level security, audit trails, in-perimeter processing. The AI-governance review gets shorter because the data never moves.

06Transact

Bought where you buy

Available through the Snowflake Marketplace, drawing down committed spend — collapsing procurement from months to weeks.

Proven in production

Finished work, measured by the customer

Results from Tellius deployments on the data cloud — reported by the teams who run them.

3×

faster category insights

95%

less time on analysis (20 hrs → 30 min)

10→2

days to insight for field teams

275%

adoption growth across field + home office

Now the answer is on the table before Monday's call — so the team spends its time deciding what to do, not chasing the number.

Sanjeev Mankar · Senior Director, Business Applications / Data & Insights · Novo Nordisk

Common questions

Tellius on Snowflake, answered

Does my data leave Snowflake?

No. Tellius runs in-perimeter — it reads governed data, reasons on Snowflake's own AI, and writes results back, all inside your account. Because the data never moves, the AI-governance and security review is typically shorter.

How does Tellius use Snowflake Cortex and Semantic Views?

Tellius consumes Semantic Views as the shared meaning layer rather than rebuilding them, and reasons on Cortex models inside your perimeter on committed Snowflake spend. It builds semantics where none exist and respects the ones you already govern in Horizon.

How is this different from Cortex Analyst or a general-purpose AI agent?

A general-purpose agent is horizontal and probabilistic — great for broad questions, but it narrates a plausible cause and can give a different answer each run. Tellius is vertical, deterministic, and finished: it knows your industry, validates the data first, computes the driver decomposition the same way every time, and returns a complete brief with lineage. Tellius complements Cortex and CoWork — it's the callable layer they reach for when the answer has to be defensible.

What does "deterministic" actually mean here?

It means the same defensible answer every time the workflow runs on the same data. Tellius gets there by validating the data before it computes (null, join-key, cardinality, double-counting, fan/chasm-trap checks and more) and by locking the workflow specification through Missions before execution — so there's nothing left for a model to reinterpret at runtime.

How fast can we deploy on our Snowflake data?

Weeks, not quarters. Tellius ships with the deterministic engines and the domain models already built, so it runs on your governed Snowflake data out of the box — no custom pipeline to assemble and re-check.

Can we buy Tellius through Snowflake?

Yes — Tellius is available through the Snowflake Marketplace, so a purchase can draw down existing committed spend and collapse procurement from months to weeks.

See Tellius reason on your Snowflake data

Bring a question your team asks every week. We'll show you the finished work come back — computed, reproducible, and written to your warehouse.

Book a demo Start for free

❄ Snowflake Technology Partner Gartner Magic Quadrant Visionary Nucleus Research Accelerator

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