Move beyond disconnected pilots. Turn AI into an enterprise system of action.
AI is transforming how enterprises innovate and make decisions, but true economic value lies in embedding intelligence directly into operational pipelines. Nivedis combines rigorous data engineering, vendor-neutral model orchestration, and security guardrails to operationalize AI safely at enterprise scale.
Applied AI Architectures Engineered for Technical Mastery.
Explore our production-grade technical blueprints: Hybrid RAG pipelines, autonomous agentic swarms, LLMOps observability, zero-trust guardrails, and enterprise ecosystem connectors.
Enterprise Hybrid Retrieval-Augmented Generation Architecture
Deterministic GroundingContext-aware window chunking across PDF, DOCX, Snowflake tables, SharePoint, and SAP schemas.
Unstructured.io / LangChainDual embedding combining dense semantic vectors with BM25 sparse keyword indices for high recall.
Cohere Embed v3 / BGE-M3Tenant-isolated vector indexing with role-based access control (RBAC) and metadata filtering.
Qdrant / Pinecone / pgvectorRe-scores top 50 candidates down to top 5 context snippets, eliminating irrelevant noise.
Cohere Rerank / BGE RerankerFrontier model synthesizes answers with strict citation footnotes and anti-hallucination verification.
Claude 3.5 Sonnet / GPT-4oMulti-Agent Swarm Orchestration with ReAct Execution
LangGraph • State MachineDecomposes ambiguous enterprise goals into sequential sub-tasks and assigns dedicated specialist agents.
- Dynamic task DAG generation
- State checkpointing & recovery
- Budget & step limit enforcement
Navigates corporate data lakes, documents, and ticketing systems to extract required context.
- Multi-source search queries
- OCR and table structuring
- Cross-document reconciliation
Runs deterministic calculations, SQL queries, and tool APIs in an isolated cloud environment.
- Isolated Python code sandbox
- Safe REST API tool calls
- Parameterized database queries
Reviews candidate actions against enterprise policy, compliance thresholds, and confidence bounds.
- Schema validation & sanity tests
- Human escalation trigger for risk
- Full immutable audit logging
Production LLMOps, Semantic Caching & Cost Engineering
LangSmith • ArizeExact & semantic similarity caching resolves duplicate user queries in <10ms with zero token cost.
Redis / GPTCacheRoutes simple queries to fast SLMs (Llama 3.3 70B) and reserves frontier models (Claude 3.5 Sonnet) for deep reasoning.
DSPy / Custom RouterAutomatic multi-provider failover protects against API rate limits and upstream outages (OpenAI → Bedrock → Azure).
LiteLLM / Circuit BreakerLive tracking of hallucination rates, token usage per business unit, latency percentiles, and drift monitoring.
Arize Phoenix / OpenTelemetryZero-Trust AI Guardrails & Enterprise Governance Shield
NeMo Guardrails • OWASP HardenedPre-inference regex & NER redaction scrubs SSNs, credit cards, credentials, and PHI before payload leaves your perimeter.
Microsoft PresidioDetects and blocks adversarial prompt injections, DAN attacks, system prompt leaks, and malicious payload probes.
Llama Guard 3 / LakeraEvaluates generated statements against retrieved knowledge chunks. Outputs failing verification are rejected.
NeMo Fact-Checking GateTamper-evident logging of prompts, sanitized inputs, reasoning steps, model version, and user identity for audits.
Immutable S3 / CloudTrailEmbedding Intelligence into Enterprise Systems of Action
Full-Stack ConnectivityEmbedded copilots in Salesforce Service Cloud, HubSpot, and Zendesk for instant case summarization.
Agentforce / Custom ApexAutomated incident triaging, Jira ticket resolution, and ServiceNow change correlation agents.
ServiceNow GenAI APIAutomated invoice matching, SAP S/4HANA order validation, and financial statement extraction.
SAP BTP / MuleSoft APINatural language Text-to-SQL assistants querying Snowflake, Databricks, and BigQuery safely.
Snowflake Cortex / dbtEngineered for scale. Proven in production.
From proprietary knowledge retrieval to autonomous agent swarms and model fine-tuning, we build high-impact AI capabilities that directly improve operational efficiency.
Enterprise RAG & Hybrid Search
Context-grounded retrieval systems connected to private document repositories, wikis, and transactional databases with verified source citations and role-based access.
Autonomous Agentic Workflows
Multi-agent systems using ReAct decision loops and tool APIs to plan, execute, and verify complex multi-step processes across ERP, CRM, and cloud systems without human bottlenecks.
Domain Model Fine-Tuning & SLMs
Tailoring open-weight small language models (Llama 3.3, Mistral) on proprietary enterprise datasets using LoRA/QLoRA for ultra-low latency, reduced compute cost, and air-gapped security.
Production LLMOps & Cost Engineering
End-to-end operational pipelines with semantic caching, dynamic model routing, automated prompt regression testing, token budgeting, and real-time hallucination scoring.
Zero-Trust AI Guardrails & Security
Pre- and post-inference security perimeters enforcing PII redaction, prompt injection firewalls, NeMo compliance policies, and auditable governance logs for SOC 2 and HIPAA.
Enterprise Systems of Action
Native integration embedding intelligence directly into Salesforce Agentforce, ServiceNow GenAI workflows, SAP S/4HANA, MuleSoft API meshes, and modern Python architectures.
The Right Model for the Job. Zero Provider Lock-In.
We benchmark and match frontier proprietary models, open-weight self-hosted architectures, and specialized SLMs based on cost, latency, context length, and data sovereignty.
Claude 3.5 Sonnet
State-of-the-art code generation, multi-document synthesis, and nuanced enterprise reasoning with industry-leading human-like evaluation scores.
GPT-4o & o1
High-velocity multimodal processing (OCR, diagrams), deterministic structured JSON generation, and complex math/logic chain-of-thought verification.
Llama 3.3 & DeepSeek-R1
Full data sovereignty with zero external API calls. Runs in your dedicated AWS/Azure perimeter with ultra-low token cost and specialized fine-tuning support.
Production-Certified Infrastructure & Multi-Cloud Ecosystem
We architect and deploy across your approved cloud vendors, vector databases, and orchestration runtimes with zero proprietary vendor lock-in.
AI in Action. Measurable Business Impact.
See how leading organizations leverage Nivedis AI architectures to accelerate operational velocity, reduce processing costs, and maintain zero-defect compliance.
Automated KYC/AML Compliance & Transaction Anomaly Agent
Manual review of multi-jurisdiction compliance filings, corporate hierarchies, and suspicious transaction flags took an average of 4.5 days per corporate account.
Engineered an air-gapped RAG pipeline integrating sanction lists, beneficial ownership registries, and customer dossiers with deterministic reasoning verifiers.
Autonomous Freight Exception Resolution & Bill-of-Lading Agent
Global freight forwarder handled 12,000+ daily customs clearance and invoice discrepancies via email, causing port delays and severe demurrage penalties.
Deployed autonomous agent swarm extracting bill-of-lading data via multimodal vision models, matching ERP shipments, and autonomously generating customs amendments.
HIPAA-Compliant Clinical Trial Protocol & Literature Synthesizer
Clinical researchers spent hundreds of hours synthesizing 80-page FDA trial protocol documents, inclusion/exclusion criteria, and peer-reviewed studies.
Constructed a HIPAA-hardened RAG system featuring sentence-level citation verification, strict medical ontology grounding, and zero data retention perimeters.
Autonomous Level-2 Technical Support Resolution & Bug Triaging
High-growth cloud platform faced ballooning support ticket queues for API integration errors, database lockups, and configuration regressions.
Built an intelligent support agent integrated into Zendesk and GitHub that parses customer stack traces, queries documentation, and synthesizes tested code fixes.
Engineering Rigor. From Feasibility to Production in 8 Weeks.
We replace open-ended exploratory research with structured architectural sprints designed to deliver tested, production-grade applications that solve real business problems.
Data & ROI Discovery
Week 1: Audit proprietary data quality, vector readiness, security perimeters, and quantify ROI per business workflow. Value before hype.
Working RAG Prototype
Weeks 2-3: Deploy a production-grade working prototype on your real datasets in 14 days using pre-built archetypes and evaluation suites.
Security & Integration
Weeks 4-6: Connect enterprise ERP/CRM APIs, tune NeMo guardrails, optimize vector caching, and establish CI/CD automated regression tests.
Go-Live & IP Handover
Weeks 7-8: Production deployment with full latency & cost observability, comprehensive runbooks, and 100% codebase ownership transfer.
Applied AI with Mathematical Rigor. Zero Hallucination. Total IP Sovereignty.
We replace speculative slide decks and fragile chatbot wrapper demos with hardened enterprise engineering. Senior AI architects and LLMOps practitioners embed directly into your teams to deploy deterministic RAG pipelines, autonomous agent swarms, and audited inference architectures that you own 100%.
Schedule an AI & LLM Architecture Consultation
Speak directly with an AI Solutions Director, not an aggressive salesperson. Bring your high-impact use cases or latency/hallucination bottlenecks — we'll map an actionable, production-ready blueprint tailored to your tech stack.
Clear analysis of latency, model selection, compute cost per transaction, and data readiness trade-offs.
Your schemas, proprietary documents, and domain models are protected under enterprise-grade mutual confidentiality.
Complete intellectual property transfer for all fine-tuning scripts, RAG prompts, and pipeline code.
Request an AI Architecture Consultation
Reviewed directly by our Principal AI Architects within 24 hours.