What we do
Scale Product & Engineering Productivity across Bangalore with AI Search
We empower Bangalore tech leaders and GCCs to query complex codebases and technical docs in natural language. Our enterprise RAG platform delivers instant, citation backed answers directly to your engineering teams.
By connecting Jira, Confluence, GitHub, Notion, and databases, we eliminate silos across your tools. Engineering squads save critical sprint hours on legacy docs and API specs, boosting developer velocity and onboarding speed.
Security and governance are built into our AI search layer with strict role based access controls and end-to-end encryption. Your proprietary code and corporate IP remain isolated and are never used to train public models.
Engineered for high concurrency, our platform scales effortlessly with Bangalore’s fast moving tech ecosystem. By converting scattered docs into real time insights, we empower teams to accelerate shipping cycles and make confident decisions.
OUR EXPERTISE
Scale Developer & Product Intelligence with Custom AI Knowledge Systems (RAG) in Bangalore
We deliver enterprise-grade AI internal knowledge systems (RAG) and custom software development services in Bangalore for fast-scaling product startups, GCCs, and tech enterprises. Combining modern LLM stacks, vector search databases, and secure architecture, our Bangalore team builds scalable, high-performance AI platforms that eliminate documentation silos and accelerate developer velocity.
Knowledge Discovery & Search Services in Bangalore
- Enterprise AI Search Solutions – Find mission-critical information instantly across your tech enterprise and GCC data sources in Bangalore.
- Semantic Search – Deliver context-aware search results beyond simple keyword matching using advanced vector embeddings.
- Document Retrieval – Retrieve technical specifications, architecture docs, and compliance records with sub-second latency.
- Multi-Source Knowledge Integration – Connect and search structured and unorganized data across your entire tech stack seamlessly.
Production RAG Architecture
- Google Vertex AI Search – Build intelligent enterprise AI search engines backed by production-grade Gemini LLMs.
- Vector Databases – Power ultra-fast information retrieval using Pinecone, Qdrant, Milvus, and pgvector.
- Hybrid Search Solutions – Combine dense semantic retrieval with sparse BM25 keyword matching for maximum precision.
Enterprise Workspace & Tooling Integration
- Developer & Engineering Tools – Index Jira, Confluence, GitHub, and Notion to boost developer velocity and onboarding.
- Google Workspace & Microsoft 365 – Search Drive, SharePoint, and corporate files securely through a single AI interface.
- Database & Cloud Storage – Connect internal databases, S3 buckets, and legacy storage with strict Role-Based Access Control (RBAC).
WHY BANGALORE TECH ENTERPRISES & GCCs CHOOSE OUR RAG PLATFORM
- Partner with a premier AI search provider in Bangalore to eliminate technical documentation silos and boost overall developer velocity.
- Centralize real-time access to codebases, API specs, Jira, Confluence, and cloud storage within a single conversational AI interface.
- Protect proprietary IP and code with strict Role-Based Access Control (RBAC), end-to-end encryption, and zero public model training.
- Deliver accurate, hallucination-free answers grounded strictly in your verified enterprise documents with exact source page citations.
- Deploy high-concurrency enterprise RAG architecture engineered for complex technical workflows, sub-second latency, and rapid growth.
Services
IT Services that are Tailored to Drive Business Success
Customized IT Solutions
Customized IT solutions designed to meet the unique needs of each client, ensuring maximum business impact.
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Latest Technologies
Using AI, RAG, and vector technologies to build intelligent knowledge systems that deliver accurate, contextual business insights.
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Commitment to Excellence
We prioritize quality, innovation, and client satisfaction in every project, ensuring client satisfaction.
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Our Projects & Successful Deliveries
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Expert Guidance
Get expert insights tailored to your business needs.
Quick Response
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Secure & Confidential
Your information stays safe, private, and secure.
OUR PROCESS
Process We Follow For Successful Deliveries
Requirement Analysis
We map manual data hurdles, operational backlogs, and ERP integration needs across established corporate businesses in Bangalore.
Solution Design
We construct role-based AI architectures enabling teams to query complex operational databases securely using natural language.
Development & Testing
Developers construct tailored AI models, verifying permission management rules, search accuracy, and enterprise tool connectivity performance.
Deployment & Support
We deploy production-grade AI workforces across HSR Layout and MG Road, backed by real-time local support.
Testimonials
What our Customers are saying
New Dynamics Technology, our software development partner. They have been an invaluable asset to our organization, consistently delivering outstanding results and exceeding our expectations.
Head-Business, ReIterate Pvt Ltd
It has been an absolute pleasure working with New Dynamics web development team. We have collaborated on multiple projects.
Co-Founder Lightbox Digital
Testimonials
What our Customers are saying
Testimonials
What our Customers are saying
FAQ
Bangalore Enterprise AI (RAG) Solutions: Frequently Asked Questions
Unlike public LLMs that rely on static training data, our enterprise RAG search grounds answers directly in your private internal repositories—such as Jira, GitHub, Confluence, and SharePoint—delivering accurate, page-cited answers without public data exposure.
We enforce strict Role-Based Access Control (RBAC), end-to-end data encryption, and document-level permission pre-filtering. Your proprietary code and docs remain isolated and are never used to train public LLM models.
We natively integrate with developer tools (Jira, Confluence, GitHub, Notion), cloud storage (S3, Google Drive, OneDrive), enterprise workspaces (SharePoint, Slack), and custom SQL/NoSQL databases.
We combine dense vector search with sparse BM25 keyword matching in a hybrid retrieval architecture. The model synthesizes answers exclusively from verified passages, providing exact source links and page citations.
Yes. Pre-retrieval authorization syncs automatically with your Identity Provider (Okta, Azure AD, Google Workspace), ensuring developers only receive search results for files they have explicit rights to view.
A production-ready RAG deployment across core engineering repositories typically takes 2 to 4 weeks, featuring live webhooks for real-time, continuous knowledge indexing.
Engineers skip manual searches for legacy API specs, architectural decisions, and past Jira tickets. Instant conversational queries cut onboarding times and significantly reduce daily search overhead.
We build on enterprise-grade infrastructure including Pinecone, Qdrant, Milvus, pgvector, and Elasticsearch, paired with model orchestration via Google Vertex AI (Gemini), OpenAI Enterprise, or self-hosted models.
Automated event-driven ingestion updates the index within minutes whenever a page is edited in Confluence or committed to GitHub, avoiding full-database re-indexing.
We offer flexible enterprise setups including dedicated Private Cloud (AWS/GCP VPC), managed instances, and air-gapped on-premise deployments tailored for high-compliance engineering teams.
Ready to Scale Enterprise Intelligence in Bangalore?
Deploy modern, secure AI knowledge platforms that turn your technical repositories into real-time, conversational intelligence for your product engineering teams in Bangalore.