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Nova AIS Assistant · Embedded in every Nova surface · Live now

Your AIS copilot.
Speaks your ontology, runs your agents.

Nova AIS Assistant is the natural-language copilot embedded inside Nova AIS. Ask anything about your data, your workflows, your AI agents — it answers in your ontology, not generic LLM. The Palantir AIP Assist analog, built for SEA price points.

5 demoscovered across Nova AIS Ontology-awarequeries, not generic chat Multi-agentinvokes phone, docs, collections, lab Tagalog + Englishcode-switches natively
Two ways to use it

One copilot. Two kinds of users served.

Nova AIS Assistant isn't a chatbot you bolt onto a web page. It's the natural-language layer that sits on top of every Nova AIS workflow — built so builders and end users can both reach the same ontology without learning the platform.

For builders + ops teams

A copilot that knows your platform

AIS Assistant reads your Nova ontology. Ask "which loans flagged for KYC review this quarter?" or "rerun the smear-review queue for blasts" and it answers in your data, then can invoke the agent that does the work. No SQL, no platform training required.

  • Ontology queriesPulls from objects, relationships, events. Returns rows you can act on.
  • Multi-agent invocationCalls phone, docs, collections, lab agents on your behalf.
  • Workflow drafting"Build a pipeline that scans new docs and flags KYC failures." Returns a runnable spec.
  • Audit trailEvery Q&A, every agent invocation logged with model + prompt context.
For end users + operators

Skip the platform tour

Built on AIOS — the same ontology architecture that runs the rest of Nova. An end user (MT in a lab, agent in a call center, planner on a CLUP) can ask the platform anything in plain Tagalog or English and get an answer that's already in their data. No vendor training week, no documentation deep-dive.

  • Plain-language input"Show me yesterday's STAT samples with critical values." Done.
  • Code-switches in PHTagalog, English, Cebuano. Switches mid-sentence the way Filipino users actually speak.
  • Contextual to the surfaceSame Assistant on /aios-dashboard knows it's looking at dashboard data. On Nova Lab it knows it's looking at samples. Same engine, different context.
  • Receipt for every answerClick any answer → see the underlying ontology query + AI model that produced it.
Capabilities

What ships today

01 · Ontology-aware

Knows your objects + relationships

Loads your Nova ontology on the first request. When you ask "which patients had critical Hgb this week," it pulls from the actual Patient object, not a generic LLM hallucination.

02 · Multi-agent

Invokes Nova agents

Phone agent, docs agent, collections agent, smear-review agent, lab agents. AIS Assistant routes the request to the right agent and returns the result inline.

03 · Cross-modal queries

Speak data, get answers

Natural-language → SQL → ontology → answer. Works across phone-call transcripts, lab samples, collected accounts, OCR'd documents. One query language across the platform.

04 · Embedded everywhere

Same Assistant, every surface

Lives inside /ais, /aios-dashboard, /aios-dashboard/healthcare. Context shifts per surface, the engine is one. No app-switching to ask a question.

05 · Multilingual

EN · Tagalog · Cebuano

Native — not translated. Code-switches mid-sentence the way Filipino users actually speak. Tested on call-center, lab, and CLUP workflows.

06 · Audit-logged

Every Q+A in the ledger

Every Assistant interaction logged with model, prompt context, response, ontology query used. 21 CFR Part 11 + DOH-PH retention compliant. Click any answer to see how it was produced.

Roadmap

Where we are. Where we're going.

2026 Q1 ✓
Embedded in Nova AIS dashboard
First version of AIS Assistant live across the AIS demo surfaces. Ontology-aware queries, single-agent invocation.
2026 Q2 · Now
Cross-modal queries + multi-agent routing
Phone + docs + collections + Nova Lab agents all reachable from one Assistant. Tagalog + Cebuano code-switch tuning.
2026 Q3
Workflow drafting + first vertical edition
"Build me a pipeline that…" returns a runnable spec. Nova Assistant for Schools (K-12 tutor edition) kicks off as a separate 5-school pilot.
2027 Q1
Schools GA + corporate-training edition
Schools edition opens to PH K-12 + university partners. Corporate-training adaptation enters pilot for adult-learner workflows.
Side-by-side

Nova AIS Assistant vs Palantir AIP Assist

Same architectural pattern: a natural-language copilot on top of an ontology-aware platform. Opposite ends of the price and footprint curve. The honest version, written by someone who has stood up both.

Dimension
Palantir AIP Assist
Nova AIS Assistant
Built on
Palantir Foundry
Nova AIOS
Median annual cost (PH enterprise)
~₱28M PHP / yr ($500K USD)
~₱1.8M PHP / yr retainer + ₱400K–₱1.2M build
Time to first production answer
12–18 months (Foundry deploy required)
8–12 weeks
Forward Deployed Engineer required
Yes, typically several
No, founder-accessible support
Pre-built vertical agents on day one
Build from scratch on Foundry primitives
Phone, docs, collections, Nova Lab, all callable from query 1
Native language depth
English plus model-provider defaults
English, Tagalog, Cebuano fine-tuned; Bahasa + Vietnamese on roadmap
Compliance baked in
FedRAMP High, DoD IL5, SOC 2, HIPAA
RA 10173, RA 11765, BSP Circular 1133, 21 CFR Part 11, ISO 15189 paths
Audit ledger
Foundry's audit trail (mature, deep)
Per-query ontology + model + response logged (functional, opinionated)
Procurement profile
NYSE-listed Palantir Technologies
Private Florida LLC, PH SEC registration in progress
Best fit
Fortune 100, defense, 10K+ seat global rollouts
PH and SEA mid-market: MFIs, banks, hospitals, LGUs, BPOs

Get early access to AIS Assistant

Drop your email and the workflow you'd want to ask the Assistant about. We'll give you a sandboxed Nova AIS account, walk you through three real queries, and let you decide if it earns a spot in your stack. Schools edition pilot opens separately in Q3 2026 — pick "School / university" below to join that cohort instead.

No spam · sandboxed account in 24h · Schools edition is a separate Q3 2026 cohort
FAQ

Questions early users ask

How does this differ from Palantir AIP Assist?
Same architectural pattern, different price point and footprint. Palantir AIP Assist is the natural-language layer on top of Foundry's ontology. Nova AIS Assistant is the same shape on top of Nova AIOS — but priced for SEA mid-market, no Forward Deployed Engineer engagement required, and shipped with vertical agents (phone, docs, collections, Nova Lab) you can invoke from day one rather than building from scratch. Full side-by-side with three-year peso-vs-dollar TCO: Nova AIOS vs Palantir Foundry.
Is it embedded inside our existing Nova AIS deployment?
Yes. The Assistant ships with every Nova AIS surface — /aios-dashboard, /aios-dashboard/healthcare, the AIS demos page. It picks up the local context (dashboard data, lab samples, collections accounts) and answers against it. One Assistant engine, surface-specific context.
What's "Nova Assistant for Schools" then?
A roadmap vertical. The same Assistant engine, tuned for a K-12 / university edition: persistent learner state, DepEd + CHED competency mapping, parent dashboard, teacher copilot. Five-school founding cohort opens Q3 2026. If you're an educator, pick "School / university" on the waitlist — that joins the schools-edition pilot, not the general AIS Assistant rollout.
How does this relate to AIOS?
AIS Assistant is built on AIOS. The ontology, the agent runtime, the audit log — all the same primitives. Every Assistant answer logs which ontology objects it touched and which model produced the response, written to the same audit ledger as the rest of your AIOS deployment.
Privacy + audit posture?
RA 10173 compliant by architecture. PII is encrypted at rest, segregated per tenant, never used to train shared models. Every Assistant interaction is captured to the audit ledger with model, prompt context, response, and the ontology query used. 21 CFR Part 11 and ISO 15189 retention rules are honored for regulated verticals (healthcare, finance).