Autonomous Research · Production AI

Enterprise AIThat Actually Ships.

Engineered by Nikita Patel and the NeuralStrat Labs team. We deploy verified AI systems that eliminate hallucinations with cryptographic citation graphs, private domain LoRA adapters, and broadcast-grade audio synthesis.

NVIDIA Inception Member|Zero Data Egress / Private VPC|99.4% Provenance Proof
telemetry.neuralstratlabs.internal
Cluster Live · US-East-1
DeepInsight Multi-Stage Ingestion Pipelinep99: 142ms
Active Node: Deterministic claim cross-validation with sub-graph proofs
Passed
LIVE THROUGHPUT: 2,840 claims/sec
PROVENANCE: 99.4%AIR-GAPPED: READY

99.4%

Citation Provenance

< 1.2s

p99 Synthesis Latency

-67%

Inference TCO Reduction

50+

Global Languages

100%

Private VPC Sovereignty

Now LiveFlagship Product

Deep
Insight

AI research platform for individuals, teams, and enterprises. Chain findings, cite sources automatically, collaborate in real-time — in 50+ languages.

On-Demand Research

Instant AI investigations

Research Chaining

Build on previous findings

AI Chat Assistant

Interact with your results

Team Collaboration

Shared workspaces & threads

Smart Citations

Every claim auto-sourced

Podcast & Media

Research for content creators

50+ Languages

Global research coverage

Multi-Format Export

PDF, DOCX, Markdown

Advanced Search

Filter & discover insights

Scheduled Research

Automated recurring runs

MCP Servers

Bring your own data

Interactive Product Sandbox

Experience DeepInsight Live

Test actual research synthesis, explore citation graphs, and listen to the dual-voice AI podcast generator in real time.

deepinsight.neuralstratlabs.com
Enterprise Research Query48 Sources Scanned · 99.2% Confidence

Synthesize Phase III in-vivo CRISPR trials from the last 12 months with lipid delivery efficacy.

DeepInsight Multi-Model Synthesis

Prime and base editing show an 84% reduction in off-target indels when delivered via engineered lipid nanoparticles (LNPs) rather than AAV viral vectors.

  • Durable target gene expression verified at 18 months across 3 independent cohorts.
  • Patient manufacturing lead times cut from 42 days to 9 days with allogeneic cell lines.
  • Zero high-grade cytokine release syndromes (CRS) flagged across 142 participants.
Verified Citations:
Audit trail & raw markdown export generated in 1.4 seconds.

Ready to run custom research on your own documents?

DeepInsight is free to start — with team workspaces and audio generation included.

Launch DeepInsight Free
[ ARCHITECTURAL SPECIFICATION & BENCHMARKS ]

The Architecture Duel

Why conventional AI prompt wrappers fail in mission-critical enterprise environments, and how deterministic systems engineering fixes it.

Knowledge Retrieval & Provenance·Information Architecture
Reference Spec v2.4
Brittle / OpaqueStandard Pattern

Naïve Vector RAG (Monolithic Embeddings)

  • ✕Arbitrary 500-token chunking breaks financial tables and cross-page references
  • ✕Pure cosine similarity is completely blind to multi-hop relational dependencies
  • ✕Frontier LLM synthesizes unverified answers without source coordinate bounding boxes
  • ✕High hallucination rate on regulatory, clinical, and compliance documents
Claim Verification:
0% (Opaque)Silent hallucinations pass unchecked
Deterministic / Production-GradeNeuralStrat Stack

DeepInsight Graph DAG & Cryptographic Provenance

  • ✓Structural AST parsing preserves tables, entities, and citation anchors intact
  • ✓Hybrid Vector + Directed Acyclic Graph (DAG) resolves multi-hop causal hops
  • ✓Cryptographic character-span tracking anchors every assertion to source literature
  • ✓Pre-generation claim verification rejects ungrounded claims before output
Claim Verification:
99.4% VerifiedCryptographic source offsets on all assertions
Zero-Retention Architecture · Air-Gapped Private VPC Ready
How It Works

Three steps. One workflow.

From first question to finished deliverable — designed for how researchers actually think.

Ask

Pose a research question in plain English. DeepInsight routes it across the right sources — the web, your docs, or custom MCP servers.

Any topic, 50+ languages, no prompt engineering required.

Chain

Build on previous findings without losing context. Every new question carries citations, evidence, and claims forward.

Drill deeper, branch sideways, or compare — the thread stays coherent.

Export or Podcast

Turn any research thread into a PDF briefing, DOCX, markdown, or a listenable podcast — fully cited, ready to share.

One click from inquiry to deliverable.

Why DeepInsight

How we compare

Built for teams that do serious research — not one-off answers.

Swipe horizontally to compare →
Feature
DeepInsightOurs
NotebookLMGoogle
PerplexityPerplexity
Research chaining
Build new queries on top of previous findings without losing citations or context.
Automatic citations on every claim
Podcast / audio export
Multi-format export (PDF, DOCX, Markdown)
Team workspaces & shared threads
Bring-your-own data via MCP servers
Scheduled / recurring research runs
50+ language coverage
SSO & admin console
Full supportPartial / limitedNot available
Who Uses DeepInsight

Built for people who live in research

A few highlighted workflows where DeepInsight shines — though anyone who relies on trustworthy, well-sourced answers will feel right at home.

Researchers

Literature reviews across languages. Citation-first outputs. Chain discoveries without losing provenance.

Journalists

Fact-check at speed. Track claims back to primary sources. Turn investigations into drafts in minutes.

Consultants

Market scans, competitor teardowns, and client briefings — produced from structured, auditable research.

Analysts

Monitor industries on a schedule. Recurring runs deliver fresh findings without duplicate noise.

Academics

Explore adjacent fields without starting from scratch. Every synthesis carries the citation trail.

Policy & Legal

Cross-jurisdictional research with transparent sourcing. Export to briefs, memos, or shareable audio.

Not on this list? DeepInsight works for any role where quick, credible, cited research beats a one-shot answer.

Founder & Systems Architect

Built by an architect, not a pitch deck

DeepInsight and Fine Tuning Studio are engineered by NeuralStrat Labs — founded by Nikita Patel to solve the hardest problems in production AI: grounding probabilistic model outputs with deterministic, mathematical citation proofs.

Every capability we ship exists because real enterprise teams cannot afford hallucinations, citation drift, or uncontrollable token sprawl. We build platforms designed for high-consequence intelligence that you can stake your enterprise reputation on.

  • NVIDIA Inception Program Member
  • Architect of DeepInsight & Fine Tuning Studio
  • Specialized in Zero-Egress Private VPC AI
  • Deterministic Citation Graph Engineering
Connect with the founder
The goal isn’t another AI wrapper — it’s a verified research architecture you can trust your enterprise name on.
— Nikita Patel · Founder, NeuralStrat Labs

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