AI & Agentic Services
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AI That Does Real Work For
Your Operations.
Most AI projects stall because they stop at a demo. We engineer the enterprise infrastructure — deterministic guardrails, seamless ERP/CRM integrations, human-in-the-loop exception routing, and automated accuracy checks — so your systems perform reliably under real production workloads.
AI Agents That Do the Work
Autonomous software assistants that complete multi-step operations in your tools, not just chat.
Answers From Your Own Documents
Private RAG knowledge assistants that answer questions from your documents with verified source citations.
Voice & Multi-Modal Assistants
Real-time conversational voice agents for phone support, appointment scheduling, and customer intake.
AI Quality, Evaluation & Testing
Automated evaluation suites that benchmark accuracy, detect regressions, and eliminate hallucinations in production.
AI Agents That Do the Work
An AI agent is a specialized system that takes an operational objective — "process this claim", "extract this invoice into the ERP", "qualify this lead" — and executes every intermediate step needed to complete it. It reads inputs, queries your internal databases, performs the transaction, and routes edge cases to your team.
We build agents that interface directly with the tools your team already uses (Slack, HubSpot, Salesforce, Linear, PostgreSQL, custom APIs). You define granular permissions: what the agent is authorized to complete autonomously and which actions require human approval. Every action is audited with structured telemetry.
Key Engineering Deliverables
- Handles routine operational requests end-to-end, 24/7/365
- Connects natively to your email, CRM, ERP, databases, and spreadsheets
- Human-in-the-loop exception routing for sensitive or low-confidence edge cases
- Complete immutable audit trail with latency and token telemetry
Ideal For: Operations teams overwhelmed by repetitive workflows — invoice processing, claims review, customer onboarding, inventory reconciliation.
Answers From Your Own Documents
Most organizational knowledge lives trapped in unstructured silos — contracts, SOPs, engineering docs, compliance policies, and past support tickets. We build private, enterprise-grade Retrieval-Augmented Generation (RAG) assistants that query your knowledge base in natural language.
Every response is paired with direct links and citations to the underlying source document and page number. If an answer cannot be verified in the ingested files, the assistant explicitly states "Information not found" rather than hallucinating. Strict Role-Based Access Controls (RBAC) ensure users only access documents they have permission to view.
Key Engineering Deliverables
- Sub-second semantic search with exact source citations and page links
- Strict zero-hallucination guardrails: admits when data is unavailable
- Granular RBAC permission enforcement across document silos
- Continuous synchronization as files are added, modified, or archived
Ideal For: Support engineers, sales teams navigating complex product specs, legal/compliance teams, and operations staff spending hours locating internal documentation.
Voice & Multi-Modal Assistants
Customers expect immediate resolution without waiting on hold. We architect ultra-low latency voice agents capable of answering inbound phone calls, qualifying customer needs, scheduling calendar appointments, and resolving tier-1 inquiries in real time.
These voice systems understand conversational interruptions, natural pauses, and industry-specific terminology. When a complex scenario arises, the call is transferred seamlessly to a live human agent alongside an instant real-time transcription and summary of the dialog.
Key Engineering Deliverables
- Answers calls instantly with sub-600ms latency voice response
- Schedules calendar appointments, checks order statuses, and updates CRM records live
- Seamless warm transfer to human operators with pre-populated conversation summaries
- Multi-language support with custom tone, accent, and brand personality tuning
Ideal For: Clinics, logistics dispatchers, field service businesses, and high-volume customer service desks losing revenue to missed calls.
AI Quality, Evaluation & Testing
AI that sounds convincing is dangerous if it isn't accurate. Before deploying any model into production, we construct comprehensive evaluation datasets scored against ground-truth benchmarks and business-critical accuracy thresholds.
Our quality telemetry continues monitoring long after deployment. We track semantic drift, token costs, hallucination rates, and latency over time. If a foundation model provider updates weights or quality fluctuates, our automated regression test suites flag discrepancies immediately with empirical metrics.
Key Engineering Deliverables
- Pre-launch benchmarking against real-world golden datasets and edge cases
- Automated continuous evaluation for latency, token economics, and drift
- Deterministic safety, prompt injection, and PII leakage guardrails
- Executive reporting dashboards showing exact accuracy percentages over time
Ideal For: Enterprises in healthcare, insurance, finance, or customer-facing applications where hallucinations and inaccuracies create operational or legal risk.
Our Production AI Technology Stack
We deploy production-tested foundation models and battle-hardened orchestration frameworks directly within your secure cloud boundary.
Foundation LLMs
- • Claude 3.5 Sonnet & Haiku
- • GPT-4o & OpenAI o1 / o3
- • Llama 3.3 70B & DeepSeek R1
- • Mistral Large & Fine-tuned SLMs
Orchestration
- • LangGraph & LangChain
- • CrewAI Multi-Agent Systems
- • LlamaIndex Advanced RAG
- • Semantic Kernel & DSPy
Vector & Data
- • Pinecone & Qdrant
- • PostgreSQL + pgvector
- • Weaviate & Milvus
- • Hybrid BM25 / Sparse Search
Cloud & Evals
- • AWS Bedrock & Azure OpenAI
- • GCP Vertex AI & Private VPCs
- • LangSmith & Arize Phoenix
- • Continuous Evals & Guardrails
Enterprise Security & Compliance Posture
We adhere to strict data residency and security controls so your sensitive customer and corporate data remains protected.
Zero Data Retention
We enforce Zero Data Retention (ZDR) endpoints. Your proprietary data is never used for foundation model training.
Client VPC Deployment
AI agents and vector stores are deployed directly inside your AWS, Azure, or GCP Virtual Private Cloud (VPC).
SOC 2 & HIPAA Ready
Architected with granular Role-Based Access Control (RBAC), end-to-end TLS 1.3 encryption, and complete audit logging.
US Legal Guarantees
We execute standard US Non-Disclosure Agreements (NDAs) and Data Processing Addendums (DPAs) before project kickoff.
Start With a Low-Risk 2–3 Week Rapid Pilot
Test a working AI agent or document assistant on your actual operational data before committing to a full deployment. Fixed cost, zero lock-in, with 100% of the pilot cost credited toward your production build.
Direct Communication With Senior Engineers
Whether you are exploring a 2–3 week AI pilot, looking to automate a critical document workflow, or building a full-scale web/cloud platform — we are ready to dive into the technical details. No sales reps or automated sequences.
US Timezone Overlap & Availability: We maintain 4+ hours of active daily overlap with US Eastern (EST) and Pacific (PST) business hours. We communicate seamlessly via dedicated Slack/Teams channels, shared Linear/Jira boards, and async Loom video walkthroughs.
What happens next: A senior AI architect reads your inquiry and responds within 24 hours. We will schedule a free 30-minute discovery call to analyze your requirements and follow up with a fixed-price scoping document within 48 hours. We execute standard US NDAs and DPAs prior to reviewing proprietary data.
Direct Contact: Email us directly at contact@neohives.com or call +91 9392558459.
