Services

Nine services, mapped to the real estate & infrastructure value chain.

Developers and asset owners don't buy "data and AI" — they buy more bookings, collections that reconcile to the RERA account, projects delivered on the registered date, contractor bills checked before they are paid, and portfolios they can see in one place. Below, each DaasLabs service line is mapped to the domains where it does that work — for developers, REITs, infrastructure owners and EPC and facility businesses — with the use cases, the KPIs it moves and the accelerators behind it.

See the value-chain map How we add value, by domain Find your service by role
Chapter 2 · Services on the value chain

Where each service line works on the real estate & infrastructure value chain

Read across a row to see where a service line leads and where it supports. Read down a column to see the team a developer or asset owner gets in that domain. Select any domain to see use cases, the KPIs we help move and the working accelerators.

9
Service lines
8
Value-chain domains
13
Lead roles across the map
38
Supporting roles across the map
Leads the work Supports Hover a dot for detail · select a domain to explore it
01 · Advise
Data & AI StrategyStrategy
Data Governance, RERA & Compliance DataGovernance
02 · Build
Data Engineering & Platform ModernisationData platform
AI & Agentic EngineeringAI & agents
03 · Transform
Sales, CRM & Customer ExperienceSales & CRM
Project Delivery & Construction ControlProjects
Asset, Leasing & Facility ManagementAssets & FM
Finance, Collections & RegulatoryFinance & RERA
04 · Run
Managed Services: DataOps, MLOps & AgentOpsManaged
Service lines engaged 6 7 6 6 7 6 7 6

The mapping shows where each service line typically leads or supports; every engagement is scoped to the business. The value chain itself is explained on the overview.

How we add value

Domain by domain: from data to a measurable outcome

Each domain follows the same path — source data, a governed data product, AI and agents, an outcome the business measures. KPIs are the measures we help you move and track; we agree targets with you, we don't promise them in advance.

Domain 1 of 8

Land, feasibility & design

Titles are layered, approvals run through many authorities and feasibility is a spreadsheet of assumptions about absorption, pricing and FSI.

Data
Land records, approvals, prices & design
Data product
Land and project data product
AI & agents
Document & feasibility agents
Outcome
Better land decisions, faster

Real estate & infrastructure use cases

  • Title and approval documents extracted and checked
  • Feasibility by micro-market: absorption, pricing, cash flow
  • Carpet-area and area-statement checks against design
  • Approval-status tracking across authorities

KPIs we help you move

Time to land decisionApproval cycle timeFeasibility-to-actual margin gapDesign changes after launch

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working Portfolio Intelligence 360
Domain 2 of 8

Sales, channel partners & CRM

Leads come from portals, channel partners and walk-ins with no single buyer record, and brokerage, cancellations and demand letters live in spreadsheets.

Data
CRM, bookings, payment plans & loans
Data product
Buyer 360 with consent
AI & agents
Lead, brokerage & collections agents
Outcome
More bookings, faster collections

Real estate & infrastructure use cases

  • Lead scoring and site-visit-to-booking conversion
  • Channel-partner performance and brokerage validation
  • Collections risk on construction-linked plans
  • Home-loan document checks and sanction tracking

KPIs we help you move

Site-visit-to-booking conversionCancellation rateCollection efficiencyBrokerage cost per booking

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working Home-Loan Document Intelligence CATALYST
Domain 3 of 8

Project planning & construction

Projects slip in increments nobody sees until a milestone is missed, and cost-to-complete is re-estimated by hand against RERA-registered dates.

Data
Schedules, site reports, BOQ & photos
Data product
Project performance data product
AI & agents
Schedule-risk, cost & vision agents
Outcome
Projects delivered on time

Real estate & infrastructure use cases

  • Schedule-risk signals from progress, labour and materials
  • Cost-to-complete and earned value by package
  • Site photos and daily reports read with vision
  • Safety-incident and snag classification

KPIs we help you move

Schedule varianceCost-to-complete accuracySafety incidentsMilestones met on time

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working EPC & Infrastructure Cockpit Control Tower
Domain 4 of 8

Procurement, contractors & equipment

Steel and cement prices swing, contractor bills arrive with measurement disputes, and equipment is hired, idle and re-hired across sites.

Data
POs, RA bills, stores & equipment logs
Data product
Vendor, material & equipment record
AI & agents
Bill-check, reconciliation & utilisation agents
Outcome
Less leakage, better utilisation

Real estate & infrastructure use cases

  • Contractor-bill checks against measurement, BOQ and rates
  • Material reconciliation: issued, consumed, theoretical
  • Equipment utilisation and hire-versus-own
  • Vendor risk and GST-compliance checks

KPIs we help you move

Material wastageBill processing timeEquipment utilisationPurchase-price variance

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working Construction Services Suite Revenue Assurance
Domain 5 of 8

Customer handover & facility management

Snag lists, registration paperwork and defect claims pile up at possession, and facility teams then juggle tickets, building assets and maintenance charges.

Data
Snags, tickets, BMS & maintenance charges
Data product
Unit and facility data product
AI & agents
Snag, ticket & maintenance agents
Outcome
Faster possession, happier residents

Real estate & infrastructure use cases

  • Snag classification routed to the right contractor
  • Possession readiness per unit and tower
  • Ticket triage, SLA and recurring-issue analysis
  • Predictive maintenance for lifts, DG sets, pumps and HVAC

KPIs we help you move

Days from completion to possessionSnags per unitTicket SLA complianceMaintenance-charge collection

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working Operations Intelligence
Domain 6 of 8

Leasing, assets & portfolio (REITs)

Lease terms, escalations and occupancy sit in documents, and portfolio and REIT reporting questions take days of spreadsheet work.

Data
Leases, rent rolls, occupancy & NOI
Data product
Portfolio data product
AI & agents
Lease, renewal & collection agents
Outcome
Higher occupancy, faster reporting

Real estate & infrastructure use cases

  • Lease abstraction with GenAI
  • Rent-roll, renewal and vacancy-risk analytics
  • Tenant receivables and collection risk
  • Portfolio views for asset managers and REIT reporting

KPIs we help you move

OccupancyTenant retentionRent collection efficiencyTime to portfolio report

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working Portfolio Intelligence 360
Domain 7 of 8

Infrastructure assets & O&M

Roads, metro, airports, ports and transmission lines earn over decades, and traffic, inspection and O&M data must prove availability to authorities, lenders and InvIT unitholders.

Data
Traffic, inspections, SCADA & contracts
Data product
Infrastructure asset data product
AI & agents
Forecast, inspection & SLA agents
Outcome
Higher availability, defensible reporting

Real estate & infrastructure use cases

  • Traffic and revenue forecasting by asset
  • Condition-based maintenance from inspections and sensors
  • Offline field inspections with GPS and photos
  • Concession and O&M SLA compliance

KPIs we help you move

Asset availabilityInspection backlogMaintenance cost per km or assetSLA penalties avoided

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working EPC & Infrastructure Cockpit Field Data Collector
Domain 8 of 8

Finance, collections & RERA compliance

Collections must reach each project's RERA designated account, withdrawals must be certified against completion, and GST, TDS and lender reporting add reconciliation.

Data
Collections, bank, GST & project cost
Data product
Governed project-finance data product
AI & agents
Reconciliation, withdrawal & commentary agents
Outcome
Cash visible, compliance defensible

Real estate & infrastructure use cases

  • Collections reconciled to designated accounts
  • Withdrawal requests checked against completion and cost
  • Project cash forecasting, 13-week and to completion
  • Board, lender and investor commentary drafted with AI

KPIs we help you move

Days to closeUnreconciled collectionsForecast accuracyTime to RERA quarterly update

Named measures, not promised results. Baselines and targets are set with you in the assessment.

See it working CLARION COMPASS NARRATOR
Find your service

Start from your role

Each service line has a clear owner on the client side. Pick yours to jump to the services most teams like yours start with.

MD / CEO
Managing Director & Chief Executive
CFO
Chief Financial Officer & treasury
COO
Chief Operating Officer & project directors
Sales & CRM
Heads of sales, marketing & CRM
Assets & FM
Leasing, asset management, facility & O&M heads
CIO / CDO
Chief Information & Chief Data Officer
01

Advise

Set direction, make the business case and put the rules in place that data and AI must meet.

Advise · Service line

Data & AI Strategy

ForMD / CEOCIO / CDOCFO
On the value chainLand & feasibilitySales & CRMConstructionProcurementHandover & FMLeasing & portfolioInfrastructure O&MFinance & RERA

The client problem

Pilots multiply across projects, joint ventures and portfolios, but few reach production. There is no shared, evidence-based view of where the business stands on data and AI, which use cases pay back, or who owns them.

Outcomes

  • A maturity baseline across 12 capability layers and five stages, scored on evidence rather than opinion
  • A prioritised roadmap of use cases across land, sales, construction, assets and finance, with a business case for each
  • An AI operating model that works across projects, SPVs and partners

What we do

  • Data & AI maturity assessment
  • AI strategy & use-case prioritisation
  • Portfolio and value-creation analytics
  • AI operating model & centre of excellence design

Typical engagements

  • AssessmentMaturity assessment and roadmap
  • Pilot · 30-45 daysProve the top-ranked use case on your data
  • BuildRoadmap delivered through our Build and Transform services
  • Managed runValue tracking and roadmap refresh

Delivered with

Maturity assessment Portfolio Intelligence 360 Value calculator
Advise · Service line

Data Governance, RERA & Compliance Data

ForCDOCompany secretaryCompliance
On the value chainLand & feasibilitySales & CRMProcurementLeasing & portfolioInfrastructure O&MFinance & RERA

The client problem

Project, unit, buyer and vendor records differ by project and system. RERA disclosures, GST and TDS, REIT and InvIT reporting, ESG disclosure and the DPDP Act all need data someone can defend, and AI adds a new layer to govern.

Outcomes

  • Golden records for projects, units, buyers, tenants, vendors and assets
  • Lineage and data-quality controls behind RERA, tax, investor and ESG reports
  • Buyer and tenant consent, access logging and AI and agent governance with a kill switch

What we do

  • Master-data management & golden records
  • RERA project and designated-account reporting lineage
  • GST, TDS and stamp-duty data controls
  • DPDP Act consent & access logging
  • AI & agent governance

Typical engagements

  • AssessmentMaster-data and compliance-data gap review
  • Pilot · 30-45 daysGolden record and lineage for one RERA project
  • BuildMDM, catalogue and controls across projects
  • Managed runOngoing DQ monitoring and stewardship

Delivered with

Data Governance Hub Data Fabric Framework Agent governance
02

Build

Engineer the data platforms and the AI that runs on them, with governance built in.

Build · Service line

Data Engineering & Platform Modernisation

ForCIOCDO
On the value chainLand & feasibilitySales & CRMConstructionProcurementHandover & FMLeasing & portfolioInfrastructure O&MFinance & RERA

The client problem

Data sits across the ERP, CRM, project-scheduling tools, site reports, facility helpdesks, bank statements and spreadsheets from every project and acquired portfolio. Every new report or model starts with another extract.

Outcomes

  • One governed, cloud-agnostic data platform on Azure, AWS or hybrid
  • An enterprise data model and ontology for projects, units, leases, assets and sites
  • Batch, streaming and IoT pipelines with lineage from source

What we do

  • ERP, CRM, project-tool and FM integration
  • Project, unit, lease and asset data models
  • Document pipelines for titles, leases and bills
  • Lakehouse / warehouse on Azure or AWS
  • Infrastructure as Code & legacy modernisation

Typical engagements

  • AssessmentData estate and target-architecture review
  • Pilot · 30-45 daysConnect and curate priority sources end to end
  • BuildPlatform build in sprints, tested with real data
  • Managed runDataOps under agreed SLAs

Delivered with

Data Fabric Framework 167+ pre-built connectors EPC & Infrastructure Cockpit
Build · Service line

AI & Agentic Engineering

ForCIOCOOCFO
On the value chainLand & feasibilitySales & CRMConstructionProcurementHandover & FMLeasing & portfolioInfrastructure O&M

The client problem

GenAI and agent pilots stall at the controls review: no autonomy limits, no audit trail, no named owner for the exceptions — and in real estate, no tolerance for an agent that pays, waives or certifies on its own.

Outcomes

  • Supervised agent squads in production, with autonomy and guardrails set per agent
  • GenAI that turns titles, leases, bills, site reports and loan documents into structured data
  • People review only the exceptions, with the agent's draft and evidence in front of them

What we do

  • Agent design: roles, squads & autonomy levels
  • GenAI document extraction: titles, leases, bills, loan files
  • Vision on site photos and inspections
  • Conversational buyer and tenant service
  • Evaluation & guardrails: policy, limits, kill switch

Typical engagements

  • AssessmentAgent opportunity and controls review
  • Pilot · 30-45 daysOne agent squad working real cases under your controls
  • BuildSquads integrated with your systems and scaled
  • Managed runAgentOps: monitoring, overrides, drift

Delivered with

Construction Services Suite Home-Loan Document Intelligence Run an agent live Governance & controls
03

Transform

Domain practices that change how a developer, asset owner or contractor works, end to end, with our accelerators as the starting point.

Transform · Service line

Sales, CRM & Customer Experience

ForHead of salesCMOHead of CRM
On the value chainSales & CRMHandover & FMFinance & RERA

The client problem

Leads arrive from portals, channel partners and walk-ins with no single buyer record. Brokerage claims, cancellations, demand letters and home-loan follow-ups are chased by hand, and buyers wait for answers on progress and payments.

Outcomes

  • One buyer record from enquiry to registration and possession
  • Higher conversion from site visit to booking, with channel partners paid on validated claims
  • Demand letters, payment reminders and buyer updates drafted by agents and approved by people

What we do

  • Lead scoring & site-visit-to-booking analytics
  • Channel-partner performance & brokerage validation
  • Construction-linked collections & demand letters
  • Home-loan document & sanction tracking
  • Buyer service on chat, voice & WhatsApp

Typical engagements

  • AssessmentSales funnel and collections diagnostic
  • Pilot · 30-45 daysBuyer 360 and one collections or brokerage flow
  • BuildCRM, collections and buyer-service rollout
  • Managed runModel and agent operations under SLA

Delivered with

Home-Loan Document Intelligence CATALYST Revenue Assurance
Transform · Service line

Project Delivery & Construction Control

ForCOOProject directorsHead of procurement
On the value chainLand & feasibilityConstructionProcurementHandover & FMInfrastructure O&M

The client problem

Projects slip in increments nobody sees until a milestone is missed; contractor bills arrive with measurement disputes; materials and equipment move between sites without a reliable count.

Outcomes

  • Schedule and cost risk flagged weeks earlier, with the evidence attached
  • Contractor bills and material consumption checked before they are paid
  • Equipment, crews and safety managed across sites from one view

What we do

  • Schedule-risk & earned-value analytics
  • Contractor-bill & measurement checks
  • Material reconciliation & site stores
  • Equipment utilisation & hire-versus-own
  • Safety & quality-snag intelligence

Typical engagements

  • AssessmentProject controls and procurement diagnostic
  • Pilot · 30-45 daysOne project or package, end to end
  • BuildProject control tower across the portfolio
  • Managed runProject data and agent operations under SLA

Delivered with

EPC & Infrastructure Cockpit Construction Services Suite Control Tower
Transform · Service line

Asset, Leasing & Facility Management

ForHead of leasingAsset managersFacility headsInfrastructure O&M
On the value chainHandover & FMLeasing & portfolioInfrastructure O&M

The client problem

Lease terms sit in documents, portfolio questions take days, possession snags and resident tickets pile up, and infrastructure inspections live on paper while concession and InvIT reporting wait.

Outcomes

  • Every lease, tenant, unit and asset on one portfolio model
  • Snags, tickets and maintenance prioritised against SLAs
  • Inspection data captured once, offline, and trusted for O&M and concession reporting

What we do

  • Lease abstraction & rent-roll analytics
  • Tenant receivables & renewal risk
  • Snag, helpdesk & SLA intelligence
  • Predictive maintenance for building and infrastructure assets
  • Offline inspections & concession SLA tracking

Typical engagements

  • AssessmentPortfolio and operations data review
  • Pilot · 30-45 daysLease abstraction or ticket intelligence for one portfolio
  • BuildPortfolio, FM and O&M platform rollout
  • Managed runOperations agents under SLA

Delivered with

Portfolio Intelligence 360 Operations Intelligence Field Data Collector
Transform · Service line

Finance, Collections & Regulatory (RERA, GST)

ForCFOFinance controllersTreasury
On the value chainLand & feasibilitySales & CRMConstructionProcurementLeasing & portfolioFinance & RERA

The client problem

Collections must be reconciled to each project's RERA designated account, withdrawals certified against completion, GST and TDS reconciled, and lenders and investors want project-level cash and commentary on time.

Outcomes

  • Collections reconciled to designated accounts with breaks explained
  • Withdrawal requests checked against cost and completion before they are signed
  • Project cash forecasts and board, lender and investor commentary drafted by AI and approved by people

What we do

  • Collections & designated-account reconciliation
  • Withdrawal-certificate checks
  • GST, TDS & stamp-duty reconciliation
  • Project cash forecasting & FP&A
  • Lender, investor & REIT reporting

Typical engagements

  • AssessmentCollections, RERA and close diagnostic
  • Pilot · 30-45 daysOne project's collections and withdrawal flow
  • BuildReconciliation, FP&A and reporting rollout
  • Managed runRecon and close squads under SLA

Delivered with

CLARION COMPASS NARRATOR Portfolio Intelligence 360
04

Run

Keep platforms, models and agents healthy and improving after go-live.

Run · Service line

Managed Services: DataOps, MLOps & AgentOps

ForCIOCOO
On the value chainSales & CRMConstructionHandover & FMInfrastructure O&MFinance & RERA

The client problem

After go-live, new projects launch, source systems change, models drift and agents need someone watching overrides, limits and evaluation results — on every project, through every handover.

Outcomes

  • Platforms, pipelines, models and agents run under agreed SLAs
  • New projects and portfolios onboarded onto the same model
  • Your teams freed from L2/L3 support

What we do

  • Run & L2/L3 support
  • DataOps, including new-project onboarding
  • MLOps
  • AgentOps: logs, overrides, drift, kill switch
  • Continuous improvement

Typical engagements

  • AssessmentRun-readiness and support model review
  • Pilot · 30-45 daysHypercare for a newly live capability
  • BuildMonitoring, runbooks and SLAs
  • Managed runOngoing service under agreed SLAs

Delivered with

Operations Intelligence Governance & controls Data Fabric Framework
Our assets

What makes our services faster

Every engagement starts from DaasLabs IP rather than a blank page. These assets are how we deliver — they come with the service.

1
Data Fabric Framework

The governed foundation every engagement runs on: the 4C method (Connect, Curate, Contextualize, Consume), 167+ pre-built connectors, and governance, lineage, data quality, PII detection and masking, an AI/agent layer and security built in — cloud-agnostic on Azure, AWS or hybrid.

Explore the framework
2
Accelerators

Real estate and infrastructure accelerators from platforms we have built — Portfolio Intelligence 360, the Construction Services Suite, Operations Intelligence and Home-Loan Document Intelligence, with a demonstration EPC & Infrastructure Cockpit — plus cross-industry accelerators such as CLARION, COMPASS and NARRATOR, tailored to your rules, data and controls.

Accelerators by service line The case study
3
Supervised digital workforce

AI agents that plan, call tools and gather evidence on the governed data. Policy decides what goes straight through; people approve everything else; every step is logged and a kill switch halts all agents.

How it works Watch one work
How we engage

From a business outcome to measured value

Every engagement starts from the business outcome, not the technology. We frame it through the same business lens each time, then deliver in five phase-gated stages. Most developers and asset owners start with a discovery and value case for one value-chain domain, then scale to the next on the same foundation.

How we frame an engagement

  1. 1Business outcome & KPI
  2. 2Value-chain domain
  3. 3Decisions
  4. 4Data
  5. 5AI & agents
  6. 6Governance & adoption
  7. 7Measured value

Delivery phases

Phase 1
Discover & value case

Outcome, domain and KPIs agreed; data and process assessment; baseline and business case.

Phase 2
Design

Decisions, data products, models, agents and controls designed for the chosen domain.

Phase 3
Build & integrate

Sprint delivery on the Data Fabric Framework, integrated with ERP, CRM, project-scheduling, facility and banking systems; tested on real data.

Phase 4
Deploy & adopt

Go-live, people and process change, agent autonomy limits agreed with projects, sales, finance and compliance; value tracked against the baseline.

Phase 5
Run & scale

Managed service — DataOps, MLOps and AgentOps under SLA — and the next domain on the same foundation.

Each phase ends with a gate signed off by your steering group; a pilot in one domain typically reaches a production-ready capability in 30-45 days. The Data Fabric Framework we build on

Engagement models

Staff Augmentation

Data engineers, architects, analysts and AI specialists embedded in your teams, under your delivery lead.

Project Delivery

Outcome-based delivery of an accelerator or platform build, owned end-to-end by DaasLabs with phase gates.

Managed Services

We run and improve your data platforms, models and agents — DataOps, MLOps, AgentOps and support under agreed SLAs.

Weekly status Bi-weekly steering Phase-gated sign-off 30-45 day pilot → scale

Start with the outcome you need

Pick a domain and a KPI. We'll propose a discovery and value case or a 30-45 day pilot and show you what the first weeks look like.

Talk to us Take the self-assessment Read the case study
Next chapter · 3 of 6
The foundation

Every domain above runs on the same governed data fabric — ERP, CRM, projects, facilities and the ledger connected, curated, contextualised and consumed, with lineage from source to regulatory report.

Next chapter: The foundation