INFINITYKNOTS
■SERVICE / 03 // CAPABILITY SPECIFICATION // ACTIVE RUNTIME[03] / AI + AUTOMATION

AI THAT
DOES MORE
THAN
JUST TALK.

We design intelligent assistants that understand your business, access the right information and help customers or teams get useful answers faster.

DISCUSS YOUR AI PROJECT ↗VIEW OUR WORK ↗
RUNTIME: ONLINE|VECTOR LATENCY: 11MS|CTX: 128,000 TOKENSMODEL: CLAUDE-3.5-SONNET / HYBRID-RAGENCRYPTED ENDPOINT
ACTIVE AGENTS
◎AGENT_REASONING_09ACTIVE
✲INDEX_PINECONE_VECSYNCED
⛨DETERMINISTIC_GUARDLOCKED
ACCURACY CONFIDENCE99.4%
// LIVE EXECUTION TRACESTEP 03 OF 04 COMPLETE

> query: "Synthesize customer escalation rate across EMEA fintech cluster"

→ Pinecone vector match: 42 documents retrieved (reranked with Cohere, score: 0.982)

→ Running deterministic hallucination verification matrix...

✓ Validation passed: 0 unverifiable assertions detected.

OUTPUT FORMAT: JSON SCHEMA VERIFIEDSTREAM TO API: READY
(01) / WHAT WE BUILD

FROM SIMPLE CONVERSATIONS TO COMPLETE AI WORKFLOWS.

Most AI deployments fail because they stop at basic chat wrappers. We architect deterministic AI workflows connected directly to enterprise databases, vector indices, and operational webhooks that execute real work.

DESIGN PHILOSOPHYArchitectural Restraint × Zero Hallucination Guardrails
(02) / CAPABILITY MATRIX

ENTERPRISE CAPABILITIES

NON-CONTAINERIZED EDITORIAL SPECIFICATION
[01]

AI CHATBOTS

Customer-facing intelligent assistants with verified citation, brand tone calibration, and deterministic guardrails.

CUSTOMER FACING
[02]

RAG SYSTEMS

AI connected securely to internal business knowledge, proprietary documents, and dense vector databases with zero hallucination.

HYBRID VECTOR
[03]

KNOWLEDGE ASSISTANTS

Internal co-pilots for specialized engineering and legal teams, complex document synthesis, and automated operational dispatch.

TEAM COPILOT
[04]

AI AGENTS

Autonomous reasoning systems capable of multi-step tool execution, logic branching, and dynamic external API triggers.

AUTONOMOUS
[05]

AUTOMATION

Connecting repetitive cross-tool pipelines, structured document extraction, ERP data ingestion, and ledger reconciliation.

PIPELINES
[06]

CUSTOM INTEGRATIONS

Direct embedding into existing web applications, proprietary databases, and secure private LLM enterprise endpoints.

API ARCHITECTURE
(03) / LIVE AGENT TRACE

DON'T JUST
TAKE OUR
WORD FOR IT.

An unedited operational trace from a production retention agent: hybrid retrieval, anomaly detection, cited synthesis and autonomous dispatch.

COPILOT // ENTERPRISE RETENTION AGENTSESSION 0x4F2AEXECUTION COMPLETE

// INBOUND OPERATOR QUERY

"Reconcile Q3 enterprise churn risk across European accounts and trigger retention interventions."

  1. 01
    HYBRID RETRIEVAL ACROSS 3 SOURCES0.012s

    Multi-tenant sparse-dense hybrid retrieval over Salesforce historical logs, Zendesk support tickets, and telemetry logs.

  2. 02
    ANOMALY DETECTION0.084s

    Identified 6 enterprise accounts with >$150k ARR displaying anomalous API usage drops (>35% decline over 14 rolling days).

  3. 03
    STRUCTURED SYNTHESIS & CITATION ATTESTATION0.210s

    Top factor: Unresolved SSO migration latency impacting DAU metrics in Berlin engineering hub.

    SALESFORCE://ACC-8921ZENDESK://T-44120DATADOG://SSO-LAT
  4. 04
    AUTONOMOUS DISPATCH EXECUTED0.340s
    • ✓ Retention playbook queued for 6 account owners
    • ✓ Jira ticket SSO-412 escalated to P1
(04) / TECHNICAL ARCHITECTURE PIPELINE

THE INTELLIGENCE ENGINE

  1. 01 / CONNECT

    INGEST

    Real-time connectors for unstructured databases, PDFs, Notion workspaces, Git repos, and transactional APIs.

  2. 02 / UNDERSTAND

    EMBED

    Semantic chunking, high-dimensional vector embeddings, taxonomy mapping, and metadata tag synthesis.

  3. 03 / RETRIEVE

    INDEX

    Hybrid dense & sparse vector searches paired with reciprocal rank fusion (RRF) and Cohere cross-encoder reranking.

  4. 04 / REASON

    VERIFY

    Deterministic prompting protocols, output schema validation, and rigorous guardrail evaluation passes.

  5. 05 / ACT

    EXECUTE

    Autonomous tool calling, real-time database updates, external webhook dispatches, and operator notification chains.

(05) / APPLICATIONS

OPERATIONAL DOMAINS

WHERE AGENTS EARN THEIR KEEP

CUSTOMER SUPPORT

24/7 resolution agents trained on your help centre, order history and policy documents — escalating to humans with full context.

RESOLUTION: 68% AUTONOMOUS

INTERNAL KNOWLEDGE

One search bar across Notion, Confluence, Drive and Slack, answering with citations instead of links.

SOURCES: 14 CONNECTORS

LEAD QUALIFICATION

Conversational intake that scores, enriches and routes inbound leads straight into your CRM.

ROUTING: < 30 SECONDS

DOCUMENT SYNTHESIS

Contracts, reports and filings reduced to structured summaries, risk flags and extracted fields.

PAGES / MIN: 1,200

SALES ASSISTANCE

Account briefs, proposal drafts and follow-ups generated from live deal and product data.

PREP TIME: −74%

WORKFLOW AUTOMATION

Agents that move data between tools, reconcile records and trigger the next step without a human in the loop.

TASKS: FULLY ORCHESTRATED
(06) / TECH STACK

BUILT ON
REAL
INFRASTRUCTURE.

Model-agnostic by design. We pick the right model, store and runtime for the job — and keep you free to swap any of them later.

MODELS
  • Anthropic ClaudeREASONING
  • OpenAI GPTGENERAL
  • Llama / MistralPRIVATE
  • Cohere RerankRANKING
RETRIEVAL
  • PineconeVECTOR
  • pgvectorPOSTGRES
  • QdrantSELF-HOSTED
  • Elastic BM25LEXICAL
ORCHESTRATION
  • LangGraphAGENTS
  • LlamaIndexPIPELINES
  • TemporalWORKFLOWS
  • FastAPISERVING
INFRASTRUCTURE
  • AWS / GCP VPCPRIVATE
  • Cloudflare WorkersEDGE
  • Docker / K8sRUNTIME
  • LangSmithEVALS
(07) / DELIVERY

DEPLOYMENT TIMELINE

8–12 WEEKS FROM AUDIT TO PRODUCTION
  1. 01

    DISCOVER

    Audit internal data sources, privacy constraints & ROI scope.

  2. 02

    DESIGN

    Map agentic decision tree, schema rules & fallback protocols.

  3. 03

    PROTOTYPE

    Deploy working sandbox on representative sample vector store.

  4. 04

    BUILD

    Code full integrations, webhook triggers, and private LLM endpoints.

  5. 05

    TEST

    Adversarial red-teaming, hallucination checks & latency tuning.

  6. 06

    DEPLOY

    VPC cutover with progressive canary routing & live failover.

  7. 07

    IMPROVE

    Continuous automated evaluation traces and periodic weight updates.

(08) / SELECTED DEPLOYMENT

NEURA COGNITIVE

MULTI-AGENT WORKSPACE / 2026
Multi-agent enterprise AI dashboard and orchestrator systemORCHESTRATOR // 14 AGENTS LIVE
SYSTEM SPECIFICATION

AUTONOMOUS ASSET INTELLIGENCE

Designed and deployed a stateful multi-agent system handling automated investment memorandum analysis, risk scoring, and real-time portfolio rebalancing for a $4B multi-family office.

MEMOS ANALYZED / WEEK1,800+
ANALYST HOURS SAVED−72%
CITATION ACCURACY100% VERIFIED
VIEW FULL CASE STUDY ↗
(09) / FAQ

FREQUENTLY QUESTIONED.

Answers to the questions engineering, legal and security teams ask us first.

Every answer is grounded in retrieved sources and checked before it is shown: citations are verified against the source text, outputs are validated against a schema, and anything the system cannot support is routed to a human instead of guessed.

Yes. We deploy inside your own cloud or VPC, use zero-retention model endpoints or self-hosted models, and enforce the same access permissions your users already have on the source systems.

A working prototype on your real data usually takes 2–3 weeks. A hardened production system with integrations, evaluations and monitoring typically ships in 8–12 weeks.

They can. We build connectors for SQL databases, Salesforce, HubSpot, Zendesk, SAP and custom internal APIs, so the assistant can both read from and act on the systems you already run.

READY TO DEPLOY?

HAVE A
PROCESS
THAT AI COULD
MAKE BETTER?

LET'S FIND OUT ↗
DEPLOYMENT PROTOCOL

Direct architectural consultation with our AI engineering partners. No boilerplate sales presentations.