Harpreet Singh, MBA
Founder, Thalamus AI
With 12+ years in AI and enterprise software, including GenAI product work at Travelers Group, Harpreet writes about AI RFP software, AI bid tools, proposal operations, RFP response automation, and the future of enterprise bid management.
Thalamus AI vs HeyIris on Complex, Multi-Section Proposals
Imagine this. Your team is responding to a 100-page professional services RFP. It requires a tailored technical approach, six named personnel CVs with current certifications, four comparable project references meeting a specific revenue threshold, a compliance statement mapping every mandatory requirement, and a pricing narrative. A clarification notice arrives eleven days before the deadline, changing one of the mandatory technical requirements.
What does HeyIris do?
Iris generates strong first drafts for the sections where your Knowledge Ledger has depth, past responses, standard methodology language, and approved boilerplate. Where the Ledger is thinner, a tailored argument for this specific buyer's context, a project reference that meets the exact threshold just specified, a CV that was updated last month, the system flags "not enough info" or draws from older content, requiring human review and supplementation. The compliance statement is built manually. The addendum impact is identified manually. Task assignment and deadline tracking happen in the platform's collaborative workspace.
What does Thalamus AI do?
The RFx Analysis Agent shreds the RFP on upload, extracts all mandatory requirements into a living compliance matrix mapped to section, owner, and status. The six personnel CVs are drawn from verified knowledge entities which are current, attributed to source, and verified. The four project references are validated against the threshold before inclusion. The technical approach is drafted with full context of the evaluation criteria it is answering. When the clarification notice arrives, Thalamus AI automatically detects which section is affected, updates the compliance matrix status, and routes the change to the right SME for re-approval via Slack.
HeyIris's Ledger, maintained well, produces strong drafts for the sections it knows. Thalamus AI's verified entity layer produces sourced, traceable drafts for all sections and manages the coordination and compliance layer above them. For a presales team whose hardest bids look like the 50-question security questionnaire, HeyIris's scope fits the job. For a proposal manager whose hardest bid looks like the 100-page RFP above, the scope ceiling shows.
Managing multi-section proposals where the compliance statement and addendum tracking matter as much as the draft? See how Thalamus AI covers the full scope in one connected workflow.
Where HeyIris Genuinely Wins?
HeyIris has earned its 4.9/5 G2 rating from 67 reviewers honestly, and I want to name exactly where that comes from.
For sales engineering and presales teams whose primary bottleneck is turnaround time on high-volume, repeatable questionnaires, HeyIris's combination of Knowledge Ledger depth, Portal AutoFill, and Salesforce integration is a genuinely strong fit. The Salesforce integration in particular is consistently highlighted by reviewers as a workflow accelerator; creating new projects directly from CRM data removes a manual step that compounds across dozens of responses per month. The Portal AutoFill capability means web-based vendor assessments are completed directly without export/import cycles. And the hands-on onboarding support HeyIris provides, described by multiple reviewers as exceptional, means the Ledger gets populated correctly from day one rather than requiring months of self-directed setup.
For a sales-led organization where the proposal team sits inside the sales function, and deal velocity is the primary KPI, HeyIris's Deal Desk framing is the right one. It is a tool that makes the sales team faster at the knowledge-intensive parts of closing deals.
Where the limits show: visual handling in proposals is flagged by reviewers as a gap. Processing can be slow under load. Tone control needs more granularity than the current configuration allows. And as a 2023-founded company with $4.07M in funding, HeyIris is earlier stage than most platforms in this comparison series, which means a smaller integration surface, a narrower feature roadmap, and a team that compensates with hands-on support rather than breadth of self-serve capability.
Thalamus AI vs HeyIris: Who Should You Choose?
The clearest frame for this decision: is your team's primary job winning deals, or managing bids? Both involve RFPs. They are different organizational functions with different definitions of success.
Choose HeyIris if:
Your team is in sales engineering, presales, or a deal desk function where accelerating individual deal velocity is the primary goal
Your RFP workload is primarily standardized questionnaires, security reviews, DDQs, RFIs, where a well-maintained Knowledge Ledger handles the majority of questions reliably
Salesforce integration is important for creating response workflows directly from your CRM
Portal AutoFill for web-based vendor questionnaires is a daily workflow requirement
You want a well-supported, fast-onboarding platform with hands-on implementation help
Choose Thalamus AI if:
Your team is a dedicated proposal or bid management function responsible for complex, multi-section bids where compliance tracking, addendum management, and multi-stakeholder coordination determine outcomes
Your knowledge sits in unstructured documents like past proposals, CVs, and case studies that need to become verified, source-attributed entities rather than a searchable Ledger
You need RACI-level routing so legal, technical, security, and delivery SMEs are assigned and tracked at the subsection level with version-controlled approvals
Institutional learning across bids, not just content learning within a Ledger, matters for building a proposal function that improves over time
Unlimited users and projects under one subscription remove the per-seat and credit constraints that come with scaling
Thalamus AI is probably not the right fit if: your team is primarily a sales engineering function, your bids are short and standardized, and what you need is a tool that plugs into Salesforce and reduces the turnaround time on incoming vendor questionnaires without the depth of a full bid management platform.
Think your bid complexity has outgrown what a Deal Desk tool covers? Start with a 3-month Thalamus AI pilot, unlimited projects, unlimited RFPs, one team.
What Enterprise Customers Report After Moving to Thalamus AI?
Enterprise customers using Thalamus AI across complex proposal environments have reported improvements that compound across the bid function, not just within individual deals.
Based on Thalamus AI internal customer performance data (2025–2026), across enterprise teams in healthcare, AEC, government contracting, and professional services:
+34% improvement in response reliability - attributed to the verified knowledge entity layer ensuring that what the AI draws from is current, attributed, and traceable before the draft is generated
3x more bid shortlist appearances - across customers managing complex, multi-section proposals where compliance tracking and stakeholder coordination had previously been the bottleneck
2.5x increase in bid win rates - reported by enterprise teams using the full bid management platform across multiple bid cycles, not single submissions
HeyIris's user reviews reflect a different but genuine kind of success: teams reporting 10x efficiency gains on questionnaire turnaround, dramatically reduced manual effort, and strong adoption from sales engineers who previously dreaded the RFP queue. Both sets of outcomes are real. They reflect different teams with different definitions of what winning looks like.
If winning means faster deal closure with fewer hours on security questionnaires, HeyIris is a well-built platform earning its G2 rating for good reason. If winning means more shortlists, more contract awards, and a bid function that gets smarter with every submission, the comparison points the other way.
Bring one RFP. We'll show you what full bid lifecycle management looks like, compliance matrix, addendum tracking, and all- in 20 minutes. Book a Thalamus AI demo.
Thalamus AI vs HeyIris FAQs
What does "AI-native Deal Desk" mean in HeyIris?
HeyIris uses "Deal Desk" to describe the AI-powered knowledge and response function that supports a sales team in closing complex, knowledge-intensive deals. Traditional deal desks handle pricing approvals, contract terms, and technical validation. HeyIris's version automates the documentation and knowledge layer, RFP responses, security questionnaires, and DDQs, so sales and presales teams can handle more deals faster without expanding headcount.
Does HeyIris have a free trial?
HeyIris does not publicly advertise a self-serve free trial. Evaluation typically begins with a guided demo, with pricing quoted based on team size and RFP volume. The onboarding experience is consistently praised by reviewers as hands-on and well-supported.
Is Thalamus AI a replacement for HeyIris for sales engineering teams?
Not necessarily. For sales engineering teams whose primary job is answering fast, repeatable questionnaires with Salesforce-native workflows, HeyIris's Deal Desk positioning and CRM integration are a closer fit than Thalamus AI's full bid lifecycle architecture. Thalamus AI is the stronger choice when the team managing the bid is a dedicated proposal function, not a sales-adjacent one.
What integrations does HeyIris support?
HeyIris's most prominently praised integration is Salesforce, which allows teams to create response projects directly from CRM records. It also connects to Google Drive, SharePoint, and Confluence for knowledge ingestion. Slack integration for question routing is part of its questionnaire workflow.
Does HeyIris support complex spreadsheet-based RFP formats?
One G2 reviewer specifically requested better handling of complex spreadsheet-based RFP templates as a feature improvement. While HeyIris handles standard Excel and Word formats, advanced spreadsheet complexity is flagged as an area still in development.
How does HeyIris's pricing work?
HeyIris uses per-user seat pricing with unlimited collaborators included, and RFx credits tied to volume. Pricing is custom-quoted by team size and RFP volume; it is not publicly listed. This differs from Thalamus AI's unlimited-user, unlimited-project subscription model.