MISORA LABS // PORTFOLIO & ARCHITECTURE SHEETS

Products & Client Builds

Full architectural breakdowns of our two standalone products (01 Autonmis & 02 TIEOT) and production builds running inside enterprise infrastructure.

Scope a 14-Day Pilot

03 // PORTFOLIO — PRODUCTS & CLIENT BUILDS

Proprietary software & shipped client systems.

Our two standalone products (01 Autonmis & 02 TIEOT) alongside production builds deployed privately on client infrastructure.

01 / PROPRIETARY PRODUCT · DATA & OPSPROPRIETARY SUITE

Autonmis — Autonomous Data & Operations Control Workspace

Product 01 · autonmis.com · Available Standalone or Embedded in Custom Builds

Unifies fragmented warehouses, SQL/Python notebooks, SLA monitors, and morning executive briefs into one governed workspace.

50+ ConnectorsSQL & PythonSLA WatchdogMorning BriefsCloud / VPC

app.autonmis.com / pipelines

Autonmis data ingestion and transformation pipeline workspace

app.autonmis.com / notebooks

Autonmis SQL and Python collaborative notebook workspace

CLIENT PROBLEM

Scaling operations teams run across disconnected databases, BI tools, and cron scripts. Engineering spends cycles rebuilding connectors while business teams still chase overnight spreadsheet pulls.

OUR SOLUTION & ARCHITECTURE

Built an end-to-end operational workspace with 50+ read-only connectors, governed SQL/Python notebooks, impact-ranked exception queues, and plain-English querying backed strictly by verified tables.

01→

50+ Sources

Snowflake · Postgres · S3

02→

CDC & Sync

Read-only ingestion

03→

Metrics Layer

SQL / Python notebooks

04→

SLA Watchdog

Threshold routing

6am Exec Brief

Verified lineage

WHY IT MATTERS

Zero Data Rebuild: Connects to existing DBs and APIs read-only
Governed Metrics: Every team reads the exact same source truth
Owner Accountability: Alerts assign owners automatically, not shared inboxes

BENEFITS REALISED

50+ Connectors: Warehouses, databases, ERPs & SaaS APIs
14 Days: Typical deployment from kickoff to live briefs
100% Lineage: Row-level provenance on every summary

Inspect Autonmis Platform

02 / PROPRIETARY PRODUCT · FINANCE & ERPPROPRIETARY SUITE

TIEOT — Exact Financial Reconciliation Beside Tally Prime & NetSuite

Product 02 · tieot.autonmis.com · Deterministic Keel Engine

Automates multi-bank BRS, unapplied customer cash, duplicate AP bills, and TDS checks on read-only exports—keeping your general ledger untouched.

Tally PrimeNetSuiteKeel EngineBRS · AR · APRead-Only

tieot.autonmis.com / keel-recon

TIEOT Keel bank and voucher reconciliation interface

tieot.autonmis.com / case-desk

TIEOT exception triage case desk ranked by exposure

CLIENT PROBLEM

Finance controllers lose days every close cycle manually cross-checking bank narrations, UTR references, split customer remittances, and duplicate vendor invoices against Tally Prime or NetSuite.

OUR SOLUTION & ARCHITECTURE

Engineered the deterministic Keel matching subsystem. Money math stays 100% in exact-decimal code while AI extracts messy bank narrations and drafts controller briefs solely over verified numbers.

01→

Read-Only Export

Tally · NetSuite · Bank

02→

UTR & TDS Parser

Narration normalization

03→

Keel Matcher

1:1 & 1:N exact math

04→

Exposure Queue

Ranked AR / AP / BRS

Controller Sign-Off

Voucher audit trail

WHY IT MATTERS

Ledger Untouched: Operates on read-only exports until controller approval
Deterministic Math: No LLM ever computes or invents balances
Voucher Provenance: Every exception links back to exact UTR & invoice IDs

BENEFITS REALISED

21 Cases: Open bank exceptions cleared in 48-hour pilot
₹48,22,500: Reconciled exposure in initial controller deployment
0 Writes: Zero automated mutation of general ledger entries

Inspect TIEOT Product Sheet Open tieot.autonmis.com

03 / CLIENT BUILD · LENDING & BFSIPRODUCTION CLIENT BUILD

Collections & Mandate Exception Intelligence for a Mid-Market NBFC

Client: Mid-Market NBFC (Anonymized) · 12,000 Active Loan Accounts

Replaced 90 minutes of daily manual spreadsheet cross-checking with an automated 6am ranked recovery queue—live across 12,000 accounts in 18 days.

BFSI / NBFCDPD RoutingNACH BounceRead-Only LMS18 Days

ops.client-vpc / portfolio-watch

Lending SLA and delinquency exception monitor

ops.client-vpc / collections-queue

Exposure-ranked borrower collections decision queue

CLIENT PROBLEM

Loan status lived in the LMS, bounce feeds arrived via bank files, and collections updates sat in CRM exports. By the time regional managers compiled daily lists, critical DPD thresholds were already missed.

OUR SOLUTION & ARCHITECTURE

Connected read-only to the loan warehouse, mandate bounce feeds, and CRM tables. Codified DPD cohort weighting and ticket-size exposure rules to generate an automated 6am collector worklist.

01→

LMS & Bureau DB

12,000 loan accounts

02→

Bank NACH Feed

Bounce & clearing sync

03→

DPD Rule Engine

Risk & exposure weights

04→

Exception Router

Branch & agent split

6am Recovery List

2-min discovery lag

WHY IT MATTERS

Early Intervention: Mandate bounces flagged within 2 minutes, not 14 hours
No LMS Migration: Layered cleanly over existing lending databases
Self-Maintained: Zero ongoing engineering sprints after week-one setup

BENEFITS REALISED

14h → 2min: Exception detection lag from bounce to ops alert
18 Days: From read-only connection to live production brief
90 min/day: Daily manual reconciliation eliminated for ops leads

Read Full Build Sheet

04 / CLIENT BUILD · APPLIED VOICE AIPRODUCTION CLIENT BUILD

7-Stage Automated Quality Governance Pipeline for Voice AI Training Data

Client: Indic-Language Voice Data Operation · Multi-Language Pipeline

Replaced 100% manual audio review with an automated 7-stage scoring and routing pipeline—cutting human review load by 60–70% with full audit lineage.

Voice AIASR + Acoustic QALLM EvaluationAudit ProvenanceHITL Desk

qa.client-vpc / pipeline-audit

Voice pipeline evaluation querying and quality metrics

qa.client-vpc / reviewer-desk

Human-in-the-loop review and automated routing desk

CLIENT PROBLEM

Every contributor audio recording went directly to a human reviewer with no acoustic pre-filtering, no transcription verification, and zero structured audit trail for regulatory provenance.

OUR SOLUTION & ARCHITECTURE

Engineered a 7-stage pipeline: audio quality gate → ASR transcription → language/code-switch detection → 7-dimension acoustic scoring → LLM semantic evaluation → weighted router → immutable audit desk.

01→

Audio Submissions

Multi-language streams

02→

Acoustic & ASR Gate

7-dimension scoring

03→

Semantic Eval

Prompt adherence check

04→

Confidence Router

>0.85 auto-accept

HITL Audit Trail

100% model lineage

WHY IT MATTERS

Triage Before Human: Clean samples auto-pass; humans focus only on edge cases
Compliance Ready: Logs exact model version, scores, and rationale per clip
Ops Queryable: Non-technical leads inspect score distributions in plain English

BENEFITS REALISED

60–70%: Reduction in manual human evaluator review load
2 Weeks: Time from kickoff to live proof-of-concept pipeline
100%: Auditable decision provenance across every clip

Read Full Build Sheet

05 / CLIENT BUILD · SUPPLY CHAIN & 3PLPRODUCTION CLIENT BUILD

Real-Time Delivery SLA & Exception Control Tower for a Regional 3PL

Client: Regional 3PL Operator · 400+ Daily Shipments Evaluated

Cross-checked live GPS telematics against TMS dispatch and customer SLA windows—cutting breach discovery from T+18 hours to under 90 minutes.

Logistics / 3PLGPS TelematicsTMS SyncSLA Predictor16 Days

tower.client-vpc / active-routes

Supply chain delivery and warehouse SLA monitoring view

tower.client-vpc / breach-watch

Real-time threshold watcher and account manager escalation alert

CLIENT PROBLEM

Delivery status lived in the TMS, vehicle ETAs in GPS telematics, and SLA commitments in contract tables. Operations only learned about delayed shipments after customers called to escalate.

OUR SOLUTION & ARCHITECTURE

Connected read-only to all three sources and encoded SLA breach thresholds in plain rules. Live ETA deviations now trigger account-manager alerts with shipment ID and minutes-to-breach before failure.

01→

TMS Dispatch

Shipment state logs

02→

GPS Telematics

Live ETA coordinates

03→

SLA Contract DB

Tiered window rules

04→

Breach Predictor

Continuous comparison

AM Escalation

<90 min discovery

WHY IT MATTERS

Pre-Breach Alerts: Flags trending delays before penalty windows close
Human Ownership: Alerts route context; managers control client outreach
Zero Daily Pulls: Eliminated 2 hours/day of manual CSV cross-referencing

BENEFITS REALISED

T+18h → 90m: SLA breach discovery time across live fleet
400+ / day: Shipments evaluated continuously with zero sampling
16 Days: Read-only connection to production exception alerts

Read Full Build Sheet

Showing our 2 flagship products and 3 featured client builds. Inspect all 6 industry deployment breakdowns in the archive.

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