Generative AI Systems synthesized to your spec.
Enterprise RAG architectures, custom generation engines, and AI copilots that generate production-ready content, code, and interfaces strictly adhering to your brand guidelines.
Generative models are only as reliable as the grounding context you supply. We architect RAG pipelines built around verifiable source truth.
Naive RAG setups dump PDFs into a vector database and retrieve irrelevant chunks that cause hallucinated answers. Steigern Tech engineers production RAG systems with recursive document chunking, hybrid keyword-dense reranking, and verified citation grounding.
Dense + sparse retrieval
Combining BM25 keyword precision with Cohere re-ranking and dense vector embeddings to capture exact technical terminology and semantic concepts.
Automated hallucination filters
Secondary evaluator LLMs auditing generated drafts against retrieved source chunks to eliminate ungrounded claims before output displays.
Exact paragraph attribution
Every output statement and figure links directly back to the original PDF page, Wiki entry, or database record for total auditability.
Six generative systems, enterprise-hardened.
Enterprise generative AI requires end-to-end provenance: every generated sentence must trace directly to an immutable source document chunk with exact page numbers and confidence scores.
Advanced Dense + Sparse RAG
Contextual chunking, vector indexing, and cross-encoder re-ranking ensuring the LLM receives the most authoritative context chunks.
Role-specific AI assistants
Internal copilots for legal contract review, engineering codebases, and customer support drafting that adhere strictly to brand voice.
Document knowledge ingestion
OCR and semantic parsing pipelines converting thousands of complex PDFs, spreadsheets, and manuals into clean searchable vector stores.
Structured document generation
Synthesize technical proposals, audit summaries, and executive briefing memorandums from multi-source datasets with single-click ease.
Prompt injection & PII shields
Prevent prompt leaking and malicious inputs with input sanitization, and mask sensitive customer data before it reaches model endpoints.
Private cloud & local LLM serving
Host open-weight models (Llama 3.3, Mistral) in dedicated VPCs or on-premises to guarantee data confidentiality and zero public API dependencies.
From document chaos to grounded intelligence, with 100% citation tracking.
We build generative systems that your legal and compliance teams will actually approve — zero data leaks, zero hallucinated facts, and complete citations.
Corpus ingestion audit
Analyze PDF tables, scanned documents, markdown wikis, and access control boundaries across company knowledge bases.
Hierarchical chunking strategy
Implement parent-child chunking, table extraction, and fine-tuned domain embeddings to avoid context fragmentation.
Hybrid retrieval & reranker engine
Combine BM25 lexical search with dense vector embeddings and cross-encoder rerankers to pull strictly relevant context.
Grounded RAG prototype
Deploy working search and generative answer interface with exact page citations and verification confidence scores in 2 weeks.
Guardrails & semantic caching
Integrate NeMo Guardrails, semantic caching with Redis, and streaming responses to cut latency and API token costs.
RAG Triad automated evaluation
Automate continuous TruLens / Ragas scoring to measure context relevance, groundedness, and answer correctness in real time.
Corpus ingestion audit:Analyze PDF tables, scanned documents, markdown wikis, and access control boundaries across company knowledge bases.
enterprise RBAC integration, security audit, and production deployment
corpus re-indexing, retrieval tuning, and foundation model upgrades
GenAI Outcomes that deliver trusted precision.
Grounded intelligence that your teams and clients can trust without fear of hallucinations or corporate data leakage.
Zero uncited statements
Every generated response links directly to source paragraphs in verified company documents, ensuring complete audit transparency.
60% Faster document synthesis
Enabling analysts, researchers, and engineers to summarize 500-page regulatory filings and technical specs in minutes.
Total corporate data privacy
Your intellectual property is never utilized to train third-party foundation models; full SOC 2 and GDPR compliance.
Sub-second streaming latency
Real-time token streaming over Server-Sent Events (SSE) providing fluid, responsive interactive UI across web and mobile.
Multi-source knowledge unification
Harmonizing disparate knowledge silos from Notion, Jira, Google Drive, SQL, and internal portals into coherent answers.
Strict output schema compliance
Generating validated structured JSON outputs directly adhering to frontend interface contracts without parsing errors.
Enterprise vector retrieval & LLM orchestration tools.
We deploy with Qdrant, Milvus, LangChain, LlamaIndex, vLLM, and Redis to achieve sub-second grounded responses with deterministic citations.
Idea to Market–Ready Product
We turn your idea into a secure, compliant, and test-ready product in weeks, not months.
Inquiry & Scoping
We rapidly decompose requirements, pressure-test commercial viability, and align technical scope before capital is committed.
01 / 06
Ready to build custom AI
that does real work?
Share your operational bottlenecks, dataset needs, or automation goals. An AI solutions architect will provide an architectural roadmap within 24 business hours.